Ian R. Manchester

183 papers A* 7A 4C 18Journal 113Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LipKernel: Lipschitz-bounded convolutional neural networks via dissipative layers. Autom. Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2026	J	`jnl`	Remarks on Lipschitz-Minimal Interpolation: Generalization Bounds and Neural Network Implementation. CoRR Arthur C. B. de Oliveira, Ruigang Wang, Ian R. Manchester, Eduardo D. Sontag
2026	J	`jnl`	Trust in LLM-controlled Robotics: a Survey of Security Threats, Defenses and Challenges. CoRR Xinyu Huang, Shyam Karthick V. B, Taozhao Chen, Mitch Bryson, Thomas Chaffey, Huaming Chen, Kim-Kwang Raymond Choo, Ian R. Manchester
2025	—	`conf`	Advances in Contraction Theory for Robust Optimization, Control, and Neural Computation. CDC Francesco Bullo, Samuel Coogan, Emiliano Dall'Anese, Ian R. Manchester, Giovanni Russo
2025	J	`jnl`	EB-MBD: Emerging-Barrier Model-Based Diffusion for Safe Trajectory Optimization in Highly Constrained Environments. CoRR Raghav Mishra, Ian R. Manchester
2025	J	`jnl`	Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms. CoRR Andrea Martin, Ian R. Manchester, Luca Furieri
2025	J	`jnl`	Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees. CoRR Kanghong Shi, Ruigang Wang, Ian R. Manchester
2025	J	`jnl`	Norm-Bounded Low-Rank Adaptation. CoRR Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
2025	J	`jnl`	PEBO-SLAM: Observer Design for Visual Inertial SLAM With Convergence Guarantees. IEEE Trans. Autom. Control. Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Viorela Ila, Ian R. Manchester
2025	J	`jnl`	R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks. CoRR Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2025	J	`jnl`	React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN. CoRR Nicholas H. Barbara, Ruigang Wang, Alexandre Megretski, Ian R. Manchester
2025	—	`conf`	Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses. CDC Yurui Zhang, Ruigang Wang, Ian R. Manchester
2025	J	`jnl`	Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses. CoRR Yurui Zhang, Ruigang Wang, Ian R. Manchester
2025	J	`jnl`	Training Trajectory Predictors Without Ground-Truth Data. CoRR Mikolaj Kliniewski, Jesse Morris, Ian R. Manchester, Viorela Ila
2024	J	`jnl`	Attitude Estimation From Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. IEEE Trans. Autom. Control. Bowen Yi, Lei Wang, Ian R. Manchester
2024	—	`conf`	Control Contraction Metrics on Submanifolds. CDC Dongjun Wu, Bowen Yi, Ian R. Manchester
2024	J	`jnl`	Control contraction metrics on Lie groups. CoRR Dongjun Wu, Bowen Yi, Ian R. Manchester
2024	J	`jnl`	Learning Stable Koopman Embeddings for Identification and Control. CoRR Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester
2024	—	`conf`	Learning Stable and Passive Neural Differential Equations. CDC Jing Cheng, Ruigang Wang, Ian R. Manchester
2024	J	`jnl`	Learning Stable and Passive Neural Differential Equations. CoRR Jing Cheng, Ruigang Wang, Ian R. Manchester
2024	J	`jnl`	LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers. CoRR Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2024	A*	`conf`	Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. ICML Ruigang Wang, Krishnamurthy Dj Dvijotham, Ian R. Manchester
2024	J	`jnl`	Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
2024	J	`jnl`	On IMU preintegration: A nonlinear observer viewpoint and its applications. Syst. Control. Lett. Bowen Yi, Ian R. Manchester
2024	J	`jnl`	On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks. CoRR Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2024	J	`jnl`	On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. IEEE Trans. Autom. Control. Bowen Yi, Ian R. Manchester
2024	A	`conf`	Path-Parameterised RRTs for Underactuated Systems. IROS Damian Abood, Ian R. Manchester
2024	J	`jnl`	Path-Parameterised RRTs for Underactuated Systems. CoRR Damian Abood, Ian R. Manchester
2024	A	`conf`	Real-time Coupled Centroidal Motion and Footstep Planning for Biped Robots. IROS Tara Bartlett, Ian R. Manchester
2024	J	`jnl`	Real-time Coupled Centroidal Motion and Footstep Planning for Biped Robots. CoRR Tara Bartlett, Ian R. Manchester
2024	J	`jnl`	Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. IEEE Trans. Autom. Control. Max Revay, Ruigang Wang, Ian R. Manchester
2023	J	`jnl`	Differential initial-value privacy and observability of linear dynamical systems. Autom. Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi
2023	A*	`conf`	Direct Parameterization of Lipschitz-Bounded Deep Networks. ICML Ruigang Wang, Ian R. Manchester
2023	J	`jnl`	Direct Parameterization of Lipschitz-Bounded Deep Networks. CoRR Ruigang Wang, Ian R. Manchester
2023	J	`jnl`	Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CoRR Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2023	J	`jnl`	Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. IEEE Control. Syst. Lett. Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
2023	—	`conf`	Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CDC Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
2023	—	`conf`	Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. CDC Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2023	J	`jnl`	Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
2023	J	`jnl`	Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. IEEE Trans. Control. Netw. Syst. Vera L. J. Somers, Ian R. Manchester
2023	C	`conf`	Model Predictive Control of Spreading Processes via Sparse Resource Allocation. ACC Ruigang Wang, Armaghan Zafar, Ian R. Manchester
2023	J	`jnl`	On IMU preintegration: A nonlinear observer viewpoint and its application. CoRR Bowen Yi, Ian R. Manchester
2023	J	`jnl`	PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees. CoRR Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Viorela Ila, Ian R. Manchester
2023	J	`jnl`	RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. CoRR Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester
2023	J	`jnl`	Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks. CoRR Vera L. J. Somers, Ian R. Manchester
2023	—	`conf`	Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CDC Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
2023	J	`jnl`	Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CoRR Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
2022	J	`jnl`	Attitude estimation from vector measurements: Necessary and sufficient conditions and convergent observer design. CoRR Bowen Yi, Lei Wang, Ian R. Manchester
2022	J	`jnl`	Distributed Identification of Contracting and/or Monotone Network Dynamics. IEEE Trans. Autom. Control. Max Revay, Jack Umenberger, Ian R. Manchester
2022	J	`jnl`	Globally convergent visual-feature range estimation with biased inertial measurements. Autom. Bowen Yi, Chi Jin, Ian R. Manchester
2022	C	`conf`	Learning Stable Koopman Embeddings. ACC Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester
2022	J	`jnl`	Model Predictive Control of Spreading Processes via Sparse Resource Allocation. CoRR Ruigang Wang, Armaghan Zafar, Ian R. Manchester
2022	C	`conf`	Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. ACC Vera L. J. Somers, Ian R. Manchester
2022	J	`jnl`	Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Trans. Autom. Control. Bowen Yi, Ruigang Wang, Ian R. Manchester
2022	C	`conf`	Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. ACC Ruigang Wang, Ian R. Manchester
2021	C	`conf`	A Convex Parameterization of Robust Recurrent Neural Networks. ACC Max Revay, Ruigang Wang, Ian R. Manchester
2021	J	`jnl`	A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. Max Revay, Ruigang Wang, Ian R. Manchester
2021	—	`conf`	An almost globally convergent observer for visual SLAM without persistent excitation. CDC Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester
2021	J	`jnl`	An almost globally convergent observer for visual SLAM without persistent excitation. CoRR Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester
2021	—	`conf`	Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC Ian R. Manchester, Max Revay, Ruigang Wang
2021	J	`jnl`	Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR Ian R. Manchester, Max Revay, Ruigang Wang
2021	J	`jnl`	Differentially Private Distributed Computation via Public-Private Communication Networks. CoRR Lei Wang, Yang Liu, Ian R. Manchester, Guodong Shi
2021	J	`jnl`	Distributed Identification of Contracting and/or Monotone Network Dynamics. CoRR Max Revay, Jack Umenberger, Ian R. Manchester
2021	J	`jnl`	Globally convergent visual-feature range estimation with biased inertial measurements. CoRR Bowen Yi, Chi Jin, Ian R. Manchester
2021	J	`jnl`	Learning Stable Koopman Embeddings. CoRR Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester
2021	J	`jnl`	Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
2021	J	`jnl`	Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. CoRR Vera L. J. Somers, Ian R. Manchester
2021	J	`jnl`	Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. CoRR Vera L. J. Somers, Ian R. Manchester
2021	J	`jnl`	Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. CoRR Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth
2021	—	`conf`	On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. CDC Bowen Yi, Ian R. Manchester
2021	J	`jnl`	On the equivalence of contraction and Koopman approaches for nonlinear stability and control. CoRR Bowen Yi, Ian R. Manchester
2021	—	`conf`	Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC Max Revay, Ruigang Wang, Ian R. Manchester
2021	J	`jnl`	Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR Max Revay, Ruigang Wang, Ian R. Manchester
2021	C	`conf`	Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. ACC Bowen Yi, Ruigang Wang, Ian R. Manchester
2021	J	`jnl`	Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. IEEE Control. Syst. Lett. Vera L. J. Somers, Ian R. Manchester
2021	J	`jnl`	Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. CoRR Ruigang Wang, Ian R. Manchester
2020	C	`conf`	Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. ACC Ruigang Wang, Ian R. Manchester
2020	—	`conf`	Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. L4DC Max Revay, Ian R. Manchester
2020	J	`jnl`	Contraction analysis of nonlinear noncausal iterative learning control. Syst. Control. Lett. Felix H. Kong, Ian R. Manchester
2020	J	`jnl`	Convex Sets of Robust Recurrent Neural Networks. CoRR Max Revay, Ruigang Wang, Ian R. Manchester
2020	—	`conf`	Initial-Value Privacy of Linear Dynamical Systems. CDC Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi
2020	J	`jnl`	Initial-Value Privacy of Linear Dynamical Systems. CoRR Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi
2020	J	`jnl`	Lipschitz Bounded Equilibrium Networks. CoRR Max Revay, Ruigang Wang, Ian R. Manchester
2020	—	`conf`	On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. CDC Bowen Yi, Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	On necessary conditions of tracking control for nonlinear systems via contraction analysis. CoRR Bowen Yi, Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization. CoRR Bowen Yi, Romeo Ortega, Ian R. Manchester, Houria Siguerdidjane
2020	—	`conf`	Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CDC Jack Liell-Cock, Ian R. Manchester, Guodong Shi
2020	J	`jnl`	Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CoRR Jack Liell-Cock, Ian R. Manchester, Guodong Shi
2020	J	`jnl`	Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. CoRR Bowen Yi, Ruigang Wang, Ian R. Manchester
2020	J	`jnl`	Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. CoRR Vera L. J. Somers, Ian R. Manchester
2020	J	`jnl`	Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR Ruigang Wang, Roland Tóth, Ian R. Manchester
2019	J	`jnl`	A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR Ruigang Wang, Roland Tóth, Ian R. Manchester
2019	J	`jnl`	Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. CoRR Ruigang Wang, Ian R. Manchester
2019	J	`jnl`	Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. CoRR Max Revay, Ian R. Manchester
2019	J	`jnl`	Convex Bounds for Equation Error in Stable Nonlinear Identification. IEEE Control. Syst. Lett. Jack Umenberger, Ian R. Manchester
2019	J	`jnl`	Distributed Nonlinear Control Design Using Separable Control Contraction Metrics. IEEE Trans. Control. Netw. Syst. Humberto Stein Shiromoto, Max Revay, Ian R. Manchester
2019	J	`jnl`	Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism. CoRR Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi
2019	—	`conf`	Prediction of Smooth Gait Transitioning for Active Lower Limb Prosthetics. EMBC A. Mounir Boudali, Peter J. Sinclair, Ian R. Manchester
2019	A*	`conf`	Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. ICRA Vera L. J. Somers, Ian R. Manchester
2019	J	`jnl`	Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. CoRR Vera L. J. Somers, Ian R. Manchester
2019	—	`conf`	Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CDC Ruigang Wang, Ian R. Manchester
2019	J	`jnl`	Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CoRR Ruigang Wang, Ian R. Manchester
2019	J	`jnl`	Specialized Interior-Point Algorithm for Stable Nonlinear System Identification. IEEE Trans. Autom. Control. Jack Umenberger, Ian R. Manchester
2018	C	`conf`	Contracting Nonlinear Observers: Convex Optimization and Learning from Data. ACC Ian R. Manchester
2018	C	`conf`	Control Contraction Metrics on Finsler Manifolds. ACC Thomas L. Chaffey, Ian R. Manchester
2018	J	`jnl`	Control Contraction Metrics on Finsler Manifolds. CoRR Thomas L. Chaffey, Ian R. Manchester
2018	J	`jnl`	Distributed Nonlinear Control Design using Separable Control Contraction Metrics. CoRR Humberto Stein Shiromoto, Max Revay, Ian R. Manchester
2018	—	`conf`	Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions. CDC Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi
2018	—	`conf`	Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers. CDC Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi
2018	A	`conf`	Iterative Learning of Energy-Efficient Dynamic Walking Gaits. IROS Felix H. Kong, Ian R. Manchester
2018	J	`jnl`	Maximum likelihood identification of stable linear dynamical systems. Autom. Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön
2018	J	`jnl`	Privacy-Preserving Gossip Algorithms. CoRR Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi
2018	J	`jnl`	Robust Control Contraction Metrics: A Convex Approach to Nonlinear State-Feedback H IEEE Control. Syst. Lett. Ian R. Manchester, Jean-Jacques E. Slotine
2018	A*	`conf`	Robust Control of Dynamic Walking Robots Using Transverse H∞. ICRA Fletcher Fan, Ian R. Manchester
2018	J	`jnl`	Specialized Interior Point Algorithm for Stable Nonlinear System Identification. CoRR Jack Umenberger, Ian R. Manchester
2017	J	`jnl`	An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design". CoRR Ian R. Manchester, Thomas L. Chaffey
2017	J	`jnl`	Contracting Nonlinear Observers: Convex Optimization and Learning from Data. CoRR Ian R. Manchester
2017	J	`jnl`	Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. IEEE Trans. Autom. Control. Ian R. Manchester, Jean-Jacques E. Slotine
2017	J	`jnl`	Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. CoRR Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski
2017	J	`jnl`	Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. IEEE Trans. Autom. Control. Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski
2017	—	`conf`	Design and modeling of an open platform for dynamic walking research. ICM A. Mounir Boudali, Felix H. Kong, Javier Martinez, Justin Z. Tang, Ian R. Manchester
2017	J	`jnl`	Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. Ruigang Wang, Ian R. Manchester, Jie Bao
2017	—	`conf`	Human locomotion analysis: Identifying a dynamic mapping between upper and lower limb joints using the Koopman operator. EMBC A. Mounir Boudali, Peter J. Sinclair, Richard Smith, Ian R. Manchester
2017	—	`conf`	Identification of externally positive systems. CDC Christian Grussler, Jack Umenberger, Ian R. Manchester
2017	A*	`conf`	Invariant funnels for underactuated dynamic walking robots: New phase variable and experimental validation. ICRA Justin Z. Tang, A. Mounir Boudali, Ian R. Manchester
2017	C	`conf`	Nonlinear stabilization via Control Contraction Metrics: A pseudospectral approach for computing geodesics. ACC Karen Leung, Ian R. Manchester
2017	J	`jnl`	On Existence of Separable Contraction Metrics for Monotone Nonlinear Systems. CoRR Ian R. Manchester, Jean-Jacques E. Slotine
2016	J	`jnl`	Chebyshev Pseudospectral Method for Nonlinear Stabilization using Control Contraction Metrics. CoRR Karen Leung, Ian R. Manchester
2016	J	`jnl`	Decentralized Nonlinear Feedback Design with Separable Control Contraction Metrics. CoRR Humberto Stein Shiromoto, Ian R. Manchester
2016	—	`conf`	Decentralized nonlinear feedback design with separable control contraction metrics. CDC Humberto Stein Shiromoto, Ian R. Manchester
2016	J	`jnl`	Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation. CoRR Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön
2016	—	`conf`	Scalable identification of stable positive systems. CDC Jack Umenberger, Ian R. Manchester
2016	C	`conf`	Specialized algorithm for identification of stable linear systems using Lagrangian relaxation. ACC Jack Umenberger, Ian R. Manchester
2015	J	`jnl`	Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation. IEEE Trans. Control. Syst. Technol. Guilherme J. Maeda, Ian R. Manchester, David C. Rye
2015	J	`jnl`	Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. CoRR Ian R. Manchester, Jean-Jacques E. Slotine
2015	J	`jnl`	Input design for discrimination between classes of LTI models. Autom. Seunggyun Cheong, Ian R. Manchester
2015	C	`conf`	Phase-indexed ILC for control of underactuated walking robots. CCA Felix H. Kong, A. Mounir Boudali, Ian R. Manchester
2015	—	`conf`	Unifying Robot Trajectory Tracking with Control Contraction Metrics. ISRR (2) Ian R. Manchester, Justin Z. Tang, Jean-Jacques E. Slotine
2014	J	`jnl`	Control Contraction Metrics: Differential L2 Gain and Observer Duality. CoRR Ian R. Manchester, Jean-Jacques E. Slotine
2014	C	`conf`	Input design for model discrimination and fault detection via convex relaxation. ACC Seunggyun Cheong, Ian R. Manchester
2014	—	`conf`	Model validation and set membership state estimation for continuous-time nonlinear systems: Contraction metric approach. AuCC Hua Ouyang, Ian R. Manchester
2014	J	`jnl`	Output-Feedback Control of Nonlinear Systems using Control Contraction Metrics and Convex Optimization. CoRR Ian R. Manchester, Jean-Jacques E. Slotine
2014	—	`conf`	Output-feedback control of nonlinear systems using control contraction metrics and convex optimization. AuCC Ian R. Manchester, Jean-Jacques E. Slotine
2014	A*	`conf`	Real-time planning with primitives for dynamic walking over uneven terrain. ICRA Ian R. Manchester, Jack Umenberger
2014	J	`jnl`	Transverse Contraction Criteria for Stability of Nonlinear Hybrid Limit Cycles. CoRR Justin Z. Tang, Ian R. Manchester
2014	J	`jnl`	Transverse contraction criteria for existence, stability, and robustness of a limit cycle. Syst. Control. Lett. Ian R. Manchester, Jean-Jacques E. Slotine
2014	—	`conf`	Transverse contraction criteria for stability of nonlinear hybrid limit cycles. CDC Justin Z. Tang, Ian R. Manchester
2014	C	`conf`	Unfalsified adaptive control with MPC candidates. ACC Seunggyun Cheong, Ian R. Manchester
2013	J	`jnl`	Control Contraction Metrics and Universal Stabilizability. CoRR Ian R. Manchester, Jean-Jacques E. Slotine
2013	J	`jnl`	Input Design for Model Discrimination and Fault Detection via Convex Relaxation. CoRR Seunggyun Cheong, Ian R. Manchester
2013	J	`jnl`	Real-Time Planning with Primitives for Dynamic Walking over Uneven Terrain. CoRR Ian R. Manchester, Jack Umenberger
2013	J	`jnl`	Stable Nonlinear Identification From Noisy Repeated Experiments via Convex Optimization CoRR Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski
2013	C	`conf`	Stable nonlinear identification from noisy repeated experiments via convex optimization. ACC Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski
2013	—	`conf`	Transverse contraction criteria for existence, stability, and robustness of a limit cycle. CDC Ian R. Manchester, Jean-Jacques E. Slotine
2012	J	`jnl`	Contraction Criteria for Existence, Stability, and Robustness of a Limit Cycle CoRR Ian R. Manchester, Jean-Jacques E. Slotine
2011	J	`jnl`	Bounding on rough terrain with the LittleDog robot. Int. J. Robotics Res. Alexander C. Shkolnik, Michael Levashov, Ian R. Manchester, Russ Tedrake
2011	—	`conf`	Feedback controller parameterizations for Reinforcement Learning. ADPRL John W. Roberts, Ian R. Manchester, Russ Tedrake
2011	J	`jnl`	Identification of Nonlinear Systems with Stable Oscillations CoRR Ian R. Manchester, Mark M. Tobenkin, Jennifer Wang
2011	—	`conf`	Identification of nonlinear systems with stable oscillations. CDC/ECC Ian R. Manchester, Mark M. Tobenkin, Jennifer Wang
2011	J	`jnl`	Stable dynamic walking over uneven terrain. Int. J. Robotics Res. Ian R. Manchester, Uwe Mettin, Fumiya Iida, Russ Tedrake
2010	—	`conf`	Convex optimization in identification of stable non-linear state space models. CDC Mark M. Tobenkin, Ian R. Manchester, Jennifer Wang, Alexandre Megretski, Russ Tedrake
2010	J	`jnl`	Input Design for System Identification via Convex Relaxation CoRR Ian R. Manchester
2010	—	`conf`	Input design for system identification via convex relaxation. CDC Ian R. Manchester
2010	J	`jnl`	LQR-trees: Feedback Motion Planning via Sums-of-Squares Verification. Int. J. Robotics Res. Russ Tedrake, Ian R. Manchester, Mark M. Tobenkin, John W. Roberts
2010	J	`jnl`	Real-time estimation of cerebrospinal fluid system parameters via oscillating pressure infusion. Medical Biol. Eng. Comput. Kennet Andersson, Ian R. Manchester, Jan Malm, Anders Eklund
2010	J	`jnl`	Regions of Attraction for Hybrid Limit Cycles of Walking Robots CoRR Ian R. Manchester, Mark M. Tobenkin, Michael Levashov, Russ Tedrake
2010	—	`conf`	System identification for clinical diagnosis of hydrocephalus. CDC Ian R. Manchester, Kennet Andersson, Jan Malm, Anders Eklund
2009	—	`conf`	An algorithm for amplitude-constrained input design for system identification. CDC Ian R. Manchester
2009	C	`conf`	Stable Dynamic Walking over Rough Terrain - Theory and Experiment. ISRR Ian R. Manchester, Uwe Mettin, Fumiya Iida, Russ Tedrake
2008	J	`jnl`	A nonlinear observer for on-line estimation of the cerebrospinal fluid outflow resistance. Autom. Ian R. Manchester, K. S. Andersson, Nina Andersson, Anton S. Shiriaev, Anders Eklund
2008	J	`jnl`	Can we make a robot ballerina perform a pirouette? Orbital stabilization of periodic motions of underactuated mechanical systems. Annu. Rev. Control. Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester
2008	—	`conf`	Interception of a moving object with a specified approach angle by a wheeled robot: Theory and experiment. CDC Ian R. Manchester, Emily May Peng Low, Andrey V. Savkin
2008	—	`conf`	Periodic motion planning and analytical computation of transverse linearizations for hybrid mechanical systems. CDC Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester
2008	A*	`conf`	Virtual environment teleoperation of a hydraulic forestry crane. ICRA Simon Westerberg, Ian R. Manchester, Uwe Mettin, Pedro X. La Hera, Anton S. Shiriaev
2007	J	`jnl`	A biologically inspired method for vision-based docking of wheeled mobile robots. Robotics Auton. Syst. Emily May Peng Low, Ian R. Manchester, Andrey V. Savkin
2007	—	`conf`	Can we make a robot ballerina perform a pirouette? orbital stabilization of periodic motions of unde. ALCOSP/PSYCO Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester
2007	A	`conf`	Experimental implementation of stable oscillations of the Furuta pendulum around the upward equilibrium. IROS Leonid B. Freidovich, Anton S. Shiriaev, Ian R. Manchester
2007	—	`conf`	On motion planning for an underactuated ship: Fundamental limitations and a bearings-only navigation strategy. CDC Ian R. Manchester, Anton S. Shiriaev, Andrey V. Savkin
2007	C	`conf`	Vision-Based Interception of a Moving Target by a Mobile Robot. CCA Ian R. Manchester, Emily May Peng Low, Andrey V. Savkin
2006	J	`jnl`	Precision missile guidance using radar/multiple-video sensor fusion via communication channels with bit-rate constraints. Autom. Veerachai Malyavej, Ian R. Manchester, Andrey V. Savkin
2004	C	`conf`	The problem of precision missile guidance based on multiple-video information fusion with bit-rate communication constraints. CCA Veerachai Malyavej, Ian R. Manchester, Andrey V. Savkin
2003	—	`conf`	Optical-flow based precision missile guidance inspired by honeybee navigation. CDC Ian R. Manchester, Andrey V. Savkin, Farhail A. Faruqi
2002	—	`conf`	Circular navigation guidance law for precision missile/target engagements. CDC Ian R. Manchester, Andrey V. Savkin