IEEE Transactions on Automatic Control

最新文章

• Data-Driven Distributionally Robust Mixed-Integer Control Through Lifted Control Policy AI翻译
  作者：Ma, Xutao; Ning, Chao; Du, Wenli; Shi, Yang
  作者单位：Shanghai Jiao Tong University; East China University of Science and Technology; University of Victoria
  摘要：This article investigates the finite-horizon distributionally robust mixed-integer control (DRMIC) of uncertain linear systems. However, deriving an optimal causal feedback control policy for this DRMIC problem is computationally formidable for most ambiguity sets. To address the computational challenge, we propose a novel distributionally robust lifted control policy (DR-LCP) method to derive a high-quality approximate solution to this DRMIC problem for a rich class of Wasserstein metric-base...
• Sliding Mode Control for Robustness in Networked Switched Systems Under Denial-of-Service Attacks AI翻译
  作者：Meng, Qingkai; Kasis, Andreas; Polycarpou, Marios M.
  作者单位：University of Cyprus
  摘要：Denial-of-service (DoS) attacks impose an important threat for networked switched systems, as they impede the effective transmission of the control signals and measurement data and disrupt the synchronization of the switching modes between the controllers and the plant. To address this challenge, this article proposes a sliding-mode controller design for safety against DoS attacks in networked switched systems. First, we analyze the impact of the time delays induced by signal quantization and ...
• Adaptive Control via Lyapunov-Based Deep Long Short-Term Memory Networks AI翻译
  作者：Shen, Xuehui; Griffis, Emily J.; Wu, Wenyu; Dixon, Warren E.
  作者单位：State University System of Florida; University of Florida
  摘要：Motivated by the memory capabilities of long short-term memory (LSTM) networks and the improved function approximation power of deep learning, this article develops a Lyapunov-based adaptive controller using a deep LSTM neural network (NN) architecture. The architecture is made deep by stacking the LSTM cells on top of each other, and therefore, the overall architecture is henceforth referred to as a stacked LSTM (SLSTM). Specifically, an adaptive SLSTM architecture is developed with shortcut ...
• Multitopic Belief Formation Through Bifurcations Over Signed Social Networks AI翻译
  作者：Bizyaeva, Anastasia; Franci, Alessio; Leonard, Naomi Ehrich
  作者单位：Cornell University; University of Liege; Princeton University
  摘要：In this article, we propose and analyze a nonlinear dynamic model of continuous-time multidimensional belief formation over signed social networks. Our model accounts for the effects of a structured belief system, self-appraisal, internal biases, and various sources of cognitive dissonance posited by recent theories in social psychology. We prove that agents become opinionated as a consequence of a bifurcation. We analyze how the balance of social network effects in the model controls the natu...
• Output-Feedback Stabilization in Prescribed-Time of a Class of Reaction-Diffusion PDEs With Boundary Input Delay AI翻译
  作者：Zekraoui, Salim; Espitia, Nicolas; Perruquetti, Wilfrid; Krstic, Miroslav
  作者单位：Universite Lyon 1; Centre National de la Recherche Scientifique (CNRS); Universite de Lille; CNRS - Institute for Information Sciences & Technologies (INS2I); Centrale Lille; Universite de Lille; Centrale Lille; University of California System; University of California San Diego
  摘要：Time-varying prescribed-time (PT) controllers use growing gains not only to achieve convergence in desired time but to reduce state peaking during stabilization and to also reduce the control effort by distributing it more evenly over the time interval of convergence. In this article, we consider a 1-D reaction-diffusion system with boundary input delay and propose a general method for studying the problem of PT boundary stabilization. To achieve this objective, we first reformulate the system...
• Low-Complexity Control for a Class of Uncertain MIMO Nonlinear Systems Under Generalized Time-Varying Output Constraints AI翻译
  作者：Mehdifar, Farhad; Lindemann, Lars; Bechlioulis, Charalampos P.; Dimarogonas, Dimos V.
  作者单位：Royal Institute of Technology; University of Southern California; University of Patras
  摘要：This article introduces a novel control framework to address the satisfaction of multiple time-varying output constraints in uncertain high-order multi-input-multi-output (MIMO) nonlinear control systems. Unlike existing methods, which often assume that the constraints are always decoupled and feasible, our approach can handle coupled time-varying constraints even in the presence of potential infeasibilities. First, it is shown that satisfying multiple constraints essentially boils down to ens...
• Supervisory Control of Networked Timed Discrete Event Systems With Bandwidth Constraints AI翻译
  作者：Xiang, Zhaoyu; Chen, Yufeng; Wu, Naiqi; Li, Zhiwu
  作者单位：Macau University of Science and Technology; Xidian University
  摘要：In this article, we investigate the supervisory control of a networked timed discrete event system modeled with a timed automaton. In this system, a plant communicates with its supervisor through multiple observation channels and a single control channel. Any observation channel is imposed a bandwidth constraint such that the number of events transmitted through the channel per time unit should not exceed a given nonnegative integer. The control channel is subject to bounded control delays and...
• Approximate Constrained Discounted Dynamic Programming With Uniform Feasibility and Optimality AI翻译
  作者：Chang, Hyeong Soo
  作者单位：Sogang University
  摘要：An important question about finite constrained Markov decision process (CMDP) problem is if there exists a condition under which a uniformly optimal and uniformly feasible policy exists in the set of deterministic, history-independent, and stationary policies that achieves the optimal value at all initial states and if the CMDP problem with the condition can be solved by dynamic programming (DP). This is because the crux of the unconstrained MDP theory developed by Bellman lies in the answer t...
• Deep Learning of Delay-Compensated Backstepping for ReactionDiffusion PDEs AI翻译
  作者：Wang, Shanshan; Diagne, Mamadou; Krstic, Miroslav
  作者单位：University of Shanghai for Science & Technology; University of California System; University of California San Diego
  摘要：With deep neural network approximations of partial differential equation (PDE) backstepping, for each new functional coefficient of the PDE plant, the gains are obtained through a function evaluation. In this article, we expand this framework to control of cascaded PDE systems from distinct classes: a reaction-diffusion plant, which is a parabolic PDE, with input delay, which is a hyperbolic PDE. The DeepONet-approximated nonlinear operator for the control gain is a cascade/composition of the ...
• Finite-Time Stochastic Integral Input-to-State Stability Revisited and Its Further Applications AI翻译
  作者：Xie, Ruiming; Xu, Shengyuan
  作者单位：Nanjing University of Science & Technology
  摘要：In this article, we revisit finite-time stochastic integral input-to-state stability (FT-SiISS) and gives its further applications. Its contributions are two-fold: first, FT-SiISS is further discussed by reconstructing two new counterexamples that are different from Cui and Xie (2023), whose research significance is to find more practical systems satisfying FT-SiISS rather than FT-SISS. Second, as its application, we further solve the problem of finite-time stabilization for more general stoch...