Mohammadreza Chamanbaz

30 papers C 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems. CoRR Mohammadreza Chamanbaz, Roland Bouffanais
2023	J	`jnl`	A sequential deep learning algorithm for sampled mixed-integer optimisation problems. Inf. Sci. Mohammadreza Chamanbaz, Roland Bouffanais
2023	J	`jnl`	Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. IEEE Trans. Control. Syst. Technol. Fabrizio Dabbene, Mark Cannon, Mohammadreza Chamanbaz, Alf J. Isaksson, Martina Mammarella, Davide M. Raimondo
2022	J	`jnl`	Fast Stochastic MPC Implementation via Policy Learning. IEEE Control. Syst. Lett. Martina Mammarella, Abdulelah Altamimi, Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
2022	—	`conf`	Finite-time Event-triggered Control for a Class of Nonlinear Systems. CDC Niladri Sekhar Tripathy, Mohammadreza Chamanbaz, Roland Bouffanais
2021	J	`jnl`	Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. IEEE Trans. Control. Netw. Syst. Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais
2020	—	`conf`	Probabilistic Discrete Time Robust H2 Controller Design. CDC Mohammadreza Chamanbaz, Mario Sznaier, Constantino Lagoa, Fabrizio Dabbene
2020	C	`conf`	Robust Stabilization of a Class of Networked Nonlinear Systems via Parsimonious Communication and Actuation. IECON Niladri Sekhar Tripathy, Indra Narayan Kar, Mohammadreza Chamanbaz, Roland Bouffanais
2020	J	`jnl`	Robust Stabilization of a Class of Nonlinear Systems via Aperiodic Sensing and Actuation. IEEE Access Niladri Sekhar Tripathy, Indra Narayan Kar, Mohammadreza Chamanbaz, Roland Bouffanais
2019	—	`conf`	A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. ANZCC Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
2019	J	`jnl`	A Physics-Based Attack Detection Technique in Cyber-Physical Systems: A Model Predictive Control Co-Design Approach. CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Roland Bouffanais
2019	J	`jnl`	Probabilistically Robust AC Optimal Power Flow. IEEE Trans. Control. Netw. Syst. Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino M. Lagoa
2019	J	`jnl`	Randomized Constraints Consensus for Distributed Robust Mixed-Integer Programming. CoRR Mohammadreza Chamanbaz, Giuseppe Notarstefano, Francesco Sasso, Roland Bouffanais
2019	—	`conf`	Robust Stabilization of Resource Limited Networked Control Systems Under Denial-of-Service Attack. CDC Niladri Sekhar Tripathy, Mohammadreza Chamanbaz, Roland Bouffanais
2019	J	`jnl`	Robust Stabilization of Resource Limited Networked Control Systems Under Denial-of-Service Attack. CoRR Niladri Sekhar Tripathy, Mohammadreza Chamanbaz, Roland Bouffanais
2018	J	`jnl`	Algorithms for Optimal AC Power Flow in the Presence of Renewable Sources. CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Constantino Lagoa
2018	J	`jnl`	Distributed system of autonomous buoys for scalable deployment and monitoring of large waterbodies. Auton. Robots Brandon M. Zoss, David Mateo, Yoke Kong Kuan, Grgur Tokic, Mohammadreza Chamanbaz, Louis Goh, Francesco Vallegra, Roland Bouffanais, Dick K. P. Yue
2018	J	`jnl`	Optimal Network Topology for Effective Collective Response. CoRR David Mateo, Nikolaj Horsevad, Vahid Hassani, Mohammadreza Chamanbaz, Roland Bouffanais
2017	—	`conf`	A randomized distributed ellipsoid algorithm for uncertain feasibility problems. CDC Mohammadreza Chamanbaz, Giuseppe Notarstefano, Roland Bouffanais
2017	J	`jnl`	Adapting Low-Cost Platforms for Robotics Research. CoRR Thommen George Karimpanal, Mohammadreza Chamanbaz, Wenzheng Li, Timothy Jeruzalski, Abhishek Gupta, Erik Wilhelm
2017	J	`jnl`	Swarm-Enabling Technology for Multi-Robot Systems. CoRR Mohammadreza Chamanbaz, David Mateo, Brandon M. Zoss, Grgur Tokic, Erik Wilhelm, Roland Bouffanais, Dick K. P. Yue
2017	J	`jnl`	Swarm-Enabling Technology for Multi-Robot Systems. Frontiers Robotics AI Mohammadreza Chamanbaz, David Mateo, Brandon M. Zoss, Grgur Tokic, Erik Wilhelm, Roland Bouffanais, Dick K. P. Yue
2016	J	`jnl`	Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty. IEEE Trans. Autom. Control. Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2015	—	`conf`	Adapting Low-Cost Platforms for Robotics Research. FinE-R@IROS Thommen George Karimpanal, Mohammadreza Chamanbaz, Wenzheng Li, Timothy Jeruzalski, Abhishek Gupta, Erik Wilhelm
2014	J	`jnl`	A statistical learning theory approach for uncertain linear and bilinear matrix inequalities. Autom. Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	J	`jnl`	A Statistical Learning Theory Approach for Uncertain Linear and Bilinear Matrix Inequalities CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	—	`conf`	On the sample complexity of uncertain linear and bilinear matrix inequalities. CDC Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	J	`jnl`	Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty CoRR Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2013	—	`conf`	Sequential randomized algorithms for sampled convex optimization. CACSD Mohammadreza Chamanbaz, Fabrizio Dabbene, Roberto Tempo, Venkatakrishnan Venkataramanan, Qing-Guo Wang
2012	—	`conf`	Probabilistic Robust Approach for Discrete Multi-Objective Control of Track-Following Servo Systems in Hard Disk Drives. ROCOND Mohammadreza Chamanbaz, Ehsan Keikha, Venkatakrishnan Venkataramanan, Qing-Guo Wang, Abdullah Al Mamun