Jacob Engwerda

28 papers Journal 26Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Robust Soft-Constrained Nash Equilibria in the Multi-Player Discrete-Time Descriptor Dynamic Game.
J. Optim. Theory Appl.
Muhammad Wakhid Musthofa, Jacob Engwerda
2022 J jnl
Min-Max Robust Control in LQ-Differential Games.
Dyn. Games Appl.
Jacob Engwerda
2020 J jnl
Analysis of Optimal Control Problems for Hybrid Systems with One State Variable.
SIAM J. Control. Optim.
Puduru Viswanadha Reddy, Johannes M. Schumacher, Jacob Engwerda
2017 J jnl
A Numerical Algorithm to Calculate the Unique Feedback Nash Equilibrium in a Large Scalar LQ Differential Game.
Dyn. Games Appl.
Jacob Engwerda
2016 J jnl
Properties of feedback Nash equilibria in scalar LQ differential games.
Autom.
Jacob Engwerda
2016 J jnl
Robust Optimal Control Design Using a Differential Game Approach for Open-Loop Linear Quadratic Descriptor Systems.
J. Optim. Theory Appl.
Muhammad Wakhid Musthofa, Salmah, Jacob Engwerda, Ari Suparwanto
2015 J jnl
A Numerical Algorithm to Find All Feedback Nash Equilibria in Scalar Affine Quadratic Differential Games.
IEEE Trans. Autom. Control.
Jacob Engwerda
2014 J jnl
Necessary and Sufficient Conditions for Pareto Optimality in Infinite Horizon Cooperative Differential Games.
IEEE Trans. Autom. Control.
Puduru Viswanadha Reddy, Jacob Engwerda
2014 J jnl
Open-loop Nash equilibria in the non-cooperative infinite-planning horizon LQ game.
J. Frankl. Inst.
Jacob Engwerda
2013 — conf
A numerical algorithm to find all scalar feedback Nash equilibria.
CDC
Jacob Engwerda
2013 J jnl
Necessary and Sufficient Conditions for Feedback Nash Equilibria for the Affine-Quadratic Differential Game.
J. Optim. Theory Appl.
Jacob Engwerda, Salmah
2012 J jnl
Feedback Nash equilibria for linear quadratic descriptor differential games.
Autom.
Jacob Engwerda, Salmah
2011 J jnl
The (multi-player) linear quadratic state feedback control problem for index one descriptor systems.
J. Frankl. Inst.
Jacob Engwerda, Salmah, Indah E. Wijayanti
2010 J jnl
Necessary and Sufficient Conditions for Pareto Optimal Solutions of Cooperative Differential Games.
SIAM J. Control. Optim.
Jacob Engwerda
2009 J jnl
The open-loop linear quadratic differential game for index one descriptor systems.
Autom.
Jacob Engwerda, Salmah
2008 J jnl
A result on output feedback linear quadratic control.
Autom.
Jacob Engwerda, Arie Weeren
2008 J jnl
On the sensitivity matrix of the Nash bargaining solution.
Int. J. Game Theory
Jacob Engwerda, Rudy C. Douven
2008 J jnl
The regular convex cooperative linear quadratic control problem.
Autom.
Jacob Engwerda
2008 J jnl
Uniqueness conditions for the affine open-loop linear quadratic differential game.
Autom.
Jacob Engwerda
2007 J jnl
Algorithms for computing Nash equilibria in deterministic LQ games.
Comput. Manag. Sci.
Jacob Engwerda
2006 J jnl
Staying together or breaking apart: policy-makers' endogenous coalitions formation in the European Economic and Monetary Union.
Comput. Oper. Res.
Giovanni Di Bartolomeo, Jacob Engwerda, Joseph Plasmans, Bas van Aarle
2005 J jnl
Performance of hedging strategies in interval models.
Kybernetika
Berend Roorda, Jacob Engwerda, Johannes M. Schumacher
2005 — conf
Uniqueness conditions for the infinite-planning horizon Open-Loop Linear Quadratic Differential Game.
CDC/ECC
Jacob Engwerda
2003 J jnl
An equivalence result in linear-quadratic theory.
Autom.
W. A. van den Broek, Jacob Engwerda, Johannes M. Schumacher
2003 J jnl
Solving the scalar feedback Nash algebraic Riccati equations: an eigenvector approach.
IEEE Trans. Autom. Control.
Jacob Engwerda
2002 J jnl
Monetary and Fiscal Policy Interaction in the EMU: A Dynamic Game Approach.
Ann. Oper. Res.
Bas van Aarle, Jacob Engwerda, Joseph Plasmans
2000 J jnl
Feedback Nash equilibria in the scalar infinite horizon LQ-game.
Autom.
Jacob Engwerda
1989 J jnl
On the choice of weighting matrices in the minimum variance controller.
Autom.
Jacob Engwerda, Pieter W. Otter
redb/extractors/macho_extractors/__init__.py
← Index redb/extractors/macho_extractors/__init__.py python 
# MachO extractors package

from .macho_features import MachOFeaturesExtractor
from .macho_segments import MachOSegmentExtractor
from .macho_imports import MachOImportExtractor
from .macho_exports import MachOExportExtractor
from .macho_dylibs import MachODylibExtractor
from .macho_signature import MachOSignatureExtractor
from .macho_similarity_hashes import MachOSimilarityHashExtractor
# MachOUniversalExtractor is deprecated - FAT binary relationships are now
# tracked via parent_sha256 column in redb_basic_properties
# from .macho_universal import MachOUniversalExtractor

__all__ = [
    'MachOFeaturesExtractor',
    'MachOSegmentExtractor',
    'MachOImportExtractor',
    'MachOExportExtractor',
    'MachODylibExtractor',
    'MachOSignatureExtractor',
    'MachOSimilarityHashExtractor',
    # 'MachOUniversalExtractor',  # Deprecated
]