IEEE Transactions on Automatic Control

最新文章

• Spatiotemporal Tubes for Temporal Reach-Avoid-Stay Tasks in Unknown Systems AI翻译
  作者：Das, Ratnangshu; Basu, Ahan; Jagtap, Pushpak
  作者单位：Indian Institute of Science (IISC) - Bangalore
  摘要：This article addresses controller synthesis for unknown multi-input-multioutput systems to satisfy temporal reach-avoid-stay (T-RAS) specifications using spatiotemporal tubes (STTs). To design a valid STT, the tube constraints are first formulated as a Robust Optimization Program and then relaxed through a sampling-based scenario optimization program. Subsequently, an approximation-free, closed-form controller is designed to satisfy the T-RAS specification. Finally, the approach is validated o...
• Markov α-Potential Games AI翻译
  作者：Guo, Xin; Li, Xinyu; Maheshwari, Chinmay; Sastry, Shankar; Wu, Manxi
  作者单位：University of California System; University of California Berkeley; Johns Hopkins University; University of California System; University of California Berkeley; University of California System; University of California Berkeley
  摘要：In this article, we propose a new framework of Markov alpha-potential games to study Markov games. We show that any Markov game with finite state and finite action is a Markov alpha-potential game and establish the existence of an associated alpha-potential function. Any optimizer of an alpha-potential function is shown to be an alpha-stationary Nash equilibrium. We study two important classes of practically significant Markov games, Markov congestion games and the perturbed Markov team games,...
• Robust Tracking MPC for Perturbed Nonlinear Systems AI翻译
  作者：Polver, Marco; Limon, Daniel; Previdi, Fabio; Ferramosca, Antonio
  作者单位：University of Bergamo; University of Sevilla
  摘要：This article presents a novel robust predictive controller for constrained nonlinear systems that is able to track piecewise constant setpoint signals. The tracking model predictive controller presented in this article extends the nonlinear MPC for tracking to the more complex case of nonlinear systems subject to bounded and not necessarily additive perturbations. The optimal control problem that is solved at each step penalizes the deviation of the predicted nominal system trajectory from an ...
• Leader-Following Consensus of Linear Multiagent Systems via Distributed Impulsive Control AI翻译
  作者：Zhou, Dongpeng; Chen, Wu-Hua; Lu, Xiaomei
  作者单位：Guangxi University; Guangxi University
  摘要：This technical note introduces a novel design approach to address the leader-following consensus problem in linear multiagent systems (MASs) through distributed impulsive control. First, robust stability criteria are established for a class of linear impulsive systems with parameteric input matrix. These criteria are then applied to the design of the distributed impulsive controller. The proposed design approach decouples the design of the impulsive control gains from the detailed graph proper...
• Novel Time Aggregation-Based Algorithms for Markov Decision Processes AI翻译
  作者：Leite, Joao Marcelo L. G.; Marujo, Lino G.; Arruda, Edilson F.
  作者单位：Universidade de Sao Paulo; Insper; Universidade Federal do Rio de Janeiro; University of Southampton; Solent University
  摘要：In this article, we present two novel approaches to accelerate the convergence of a class of Markov decision problems with stationary state space components, which iterate on reduced state and action spaces and converge to an optimal policy. The time aggregation-based algorithm partitions the state space into disjoint sets, one for each possible combination of the nonstationary components, and iterates in the sets. The local search policy set iteration algorithm introduces a novel modified pol...
• Convergence of Heterogeneous Learning Dynamics in Zero-Sum Stochastic Games AI翻译
  作者：Arslantas, Yuksel; Yuceel, Ege; Yalin, Yigit; Sayin, Muhammed O.
  作者单位：Ihsan Dogramaci Bilkent University; University of Illinois System; University of Illinois Urbana-Champaign; Ihsan Dogramaci Bilkent University; Max Planck Society
  摘要：In this article, we present new families of algorithms for the repeated play of two-agent (near) zero-sum games and two-agent zero-sum stochastic games. For example, the family includes fictitious play and its variants as members. Commonly, the algorithms in this family are all uncoupled, rational, and convergent even in heterogeneous cases, e.g., where the dynamics may differ in terms of learning rates, full, none or temporal access to opponent actions, and model-based versus model-free learn...
• Safety and Optimality in Learning-Based Control at Low Computational Cost AI翻译
  作者：Baumann, Dominik; Kowalczyk, Krzysztof; Rojas, Cristian R.; Tiels, Koen; Wachel, Pawel
  作者单位：Aalto University; Uppsala University; Wroclaw University of Science & Technology; Royal Institute of Technology; Eindhoven University of Technology
  摘要：Applying machine learning methods to physical systems that are supposed to act in the real world requires providing safety guarantees. However, methods that include such guarantees often come at a high computational cost, making them inapplicable to large datasets and embedded devices with low computational power. In this article, we propose CoLSafe, a computationally lightweight safe learning algorithm whose computational complexity grows sublinearly with the number of data points. We derive ...
• Modal Strong Structural Controllability: Graph-Based Analysis in LTI Systems AI翻译
  作者：Mousavi, Shima Sadat
  作者单位：California Institute of Technology
  摘要：In this article, we introduce a new concept of modal strong structural controllability in linear time-invariant (LTI) systems. An eigenvalue of a system matrix is considered controllable if it can be directly influenced by the control inputs. We focus on an arbitrary set Delta subset of C and define a specific family of systems as modal strongly structurally controllable with respect to Delta if, for all systems in this family, every lambda is an element of Delta is a controllable eigenvalue. ...
• Consensus of a Class of Nonlinear Systems With Varying Topology: A Hilbert Metric Approach AI翻译
  作者：Wu, Dongjun
  作者单位：Lund University
  摘要：In this technical note, we introduce a novel approach to studying consensus of continuous-time nonlinear systems with varying topology based on the Hilbert metric. We demonstrate that this metric offers significant flexibility in analyzing consensus properties, while effectively handling nonlinearities and time dependencies. Notably, our approach relaxes key technical assumptions from some standard results while yielding stronger conclusions with shorter proofs. This framework provides new ins...
• Global Exponential Stability Preservation Under Sampling and Approximated Delay-Dependent Feedbacks for Nonlinear Systems With Time-Varying Delays AI翻译
  作者：Caiazzo, Bianca; Leccese, Sara; Pepe, Pierdomenico; Petrillo, Alberto; Santini, Stefania
  作者单位：University of Naples Federico II; University of L'Aquila
  摘要：This manuscript shows the global exponential stability preservation for the class of fully nonlinear retarded globally Lipschitz systems with time-varying delays under suitably fast sampling while considering at the same time the problem of the nonavailability in the buffer device of the system variables at some past (delayed) times. To this aim, a spline interpolation scheme is exploited to derive the digital control law, which has the benefit of ease of implementation. Main theoretical resul...