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作者：Zuliani, Riccardo; Balta, Efe C.; Lygeros, John
作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：Model predictive control (MPC) is pervasive in research and industry. However, designing the cost function and the constraints of the MPC to maximize closed-loop performance remains an open problem. To achieve optimal tuning, we propose a backpropagation scheme that solves a policy optimization problem with nonlinear system dynamics and MPC policies. We enforce the system dynamics using linearization and allow the MPC problem to contain elements that depend on the current system state and on p...
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作者：Huang, Kun; Zhou, Linli; Pu, Shi
作者单位：The Chinese University of Hong Kong, Shenzhen
摘要：This article proposes two distributed random reshuffling (RR) methods, namely gradient tracking with RR (GT-RR) and exact diffusion with RR (ED-RR), to solve the distributed optimization problem over a connected network, where a set of agents aim to minimize the average of their local cost functions. Both algorithms invoke RR update for each agent, inherit favorable characteristics of RR for minimizing smooth nonconvex objective functions, and improve the performance of previous distributed RR...
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作者：Hexner, Gyorgy
作者单位：RAFAEL ADVANCED DEFENSE SYSTEMS
摘要：The purpose of this note is to extend the approximate dynamic programming (ADP) method to the infinite time stochastic optimal control (ergodic) problem. It is also shown that a modification of the basic algorithm solves the output feedback problem. The ADP solution of the ergodic problem differs in significant ways from its deterministic counterpart.
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作者：Humaloja, Jukka-Pekka; Bekiaris-Liberis, Nikolaos
作者单位：Technical University of Crete
摘要：In this article, we establish that stabilization of a class of linear, hyperbolic partial differential equations (PDEs) with a large (nevertheless finite) number of components, can be achieved via employment of a backstepping-based control law, which is constructed for stabilization of a continuum version (i.e., as the number of components tends to infinity) of the PDE system. This is achieved by proving that the exact backstepping kernels, constructed for stabilization of the large-scale syst...
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作者：Liu, Bing; Xie, Furan; Chai, Li
作者单位：Wuhan University of Science & Technology; Zhejiang University
摘要：In this article, we study the privacy-preserving distributed optimization problem, aiming to prevent attackers from stealing the private information of agents. For this purpose, we propose a novel privacy-preserving algorithm based on the Advanced Encryption Standard, which is both secure and computationally efficient. By appropriately constructing the underlying weight matrices, our algorithm can be applied to time-varying directed networks. We show that the proposed algorithm can protect an ...
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作者：Ma, Xutao; Ning, Chao; Du, Wenli; Shi, Yang
作者单位：Shanghai Jiao Tong University; East China University of Science & 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...
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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 ...
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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 ...
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作者：Furnsinn, Annika; Ebenbauer, Christian; Gharesifard, Bahman
作者单位：Queens University - Canada; RWTH Aachen University
摘要：In this article, we develop a systematic method for constructing a generalized discrete-time control Lyapunov function for the flexible-step model predictive control (MPC) scheme, recently introduced in (F & uuml;rnsinn et al., 2025), when restricted to the class of linear systems. Specifically, we show that a set of linear matrix inequalities (LMIs) can be used for this purpose, demonstrating its tractability. The main consequence of this LMI formulation is that, when combined with flexible-s...
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作者：Yang, Haitian; Yong, Wen-An
作者单位：Tsinghua University
摘要：This technical note is concerned with boundary stabilization of multidimensional discrete-velocity kinetic models. By exploiting a certain stability structure of the models and adapting an appropriate Lyapunov functional, we derive feasible control laws so that the corresponding solutions decay exponentially in time. The result is illustrated with an application to the 2-D coplanar model in a square container. The effectiveness of the derived control laws is confirmed by numerical simulations.
