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作者：Moon, Jun
作者单位：Hanyang University
摘要：In this article, we consider the generalized risk-sensitive optimal control problem, where the objective functional is defined by the controlled backward stochastic differential equation (BSDE) with quadratic growth coefficient. We extend the earlier results of the risk-sensitive optimal control problem to the case of the objective functional given by the controlled BSDE. Note that the risk-neutral stochastic optimal control problem corresponds to the BSDE objective functional with linear grow...
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作者：Battistelli, Giorgio; Tesi, Pietro
作者单位：University of Florence
摘要：We address the problem of classifying trajectories generated by dynamical systems. We consider the model-based approach, which is the classic approach in control theory, and (data-driven) support vector machines, a popular method in the area of machine learning. The analysis points out connections between the two approaches and their relative merits. Examples are given to substantiate the analysis.
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作者：Wang, Bing-Chang; Huang, Jianhui; Zhang, Ji-Feng
作者单位：Shandong University; Hong Kong Polytechnic University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
摘要：This article studies social optimal control of mean field linear-quadratic-Gaussian models with uncertainty. Specially, the uncertainty is represented by an uncertain drift, which is common for all agents. A robust optimization approach is applied by assuming all agents treat the uncertain drift as an adversarial player. In our model, both dynamics and costs of agents are coupled by mean field terms, and both finite- and infinite-time horizon cases are considered. By examining social functiona...
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作者：Wang, Min; Wang, Zidong; Dong, Hongli; Han, Qing-Long
作者单位：South China University of Technology; Brunel University; Northeast Petroleum University; Swinburne University of Technology
摘要：This article is concerned with the exponential mean-square stabilization problem for a class of discrete-time strict-feedback nonlinear systems subject to multiplicative noises. The state-dependent multiplicative noise is assumed to occur randomly based on a stochastic variable obeying the Gaussian white distribution. To tackle the difficulties caused by the multiplicative noise, a novel backstepping-based control framework is developed to design both the virtual control laws and the actual co...
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作者：Li, Huaqing; Lu, Qingguo; Chen, Guo; Huang, Tingwen; Dong, Zhaoyang
作者单位：Southwest University - China; University of New South Wales Sydney; Qatar Foundation (QF); Texas A&M University Qatar
摘要：This article focuses on distributed convex optimization problems over an unbalanced directed multiagent (no central coordinator) network with inequality constraints. The goal is to cooperatively minimize the sum of all locally known convex cost functions. Every single agent in the network only knows its local objective function and local inequality constraint, and is constrained to a privately known convex set. Furthermore, we particularly discuss the scenario in which the interactions among a...
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作者：Li, Yinan; Liu, Jun
作者单位：University of Waterloo
摘要：This article proposes a finitely terminating algorithm to solve reach-and-stay control problems for nonlinear systems. The algorithm is guaranteed to return a control strategy if the specification is robustly realizable. Such a feature is desirable as the commonly used abstraction-based methods are sound but not complete for systems that are not incrementally stable. Fundamental to the proposed method is a fixed-point characterization of the winning set of the system with respect to a given sp...
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作者：Hauswirth, Adrian; Bolognani, Saverio; Hug, Gabriela; Doerfler, Florian
作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
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作者：Meng, Deyuan; Zhang, Jingyao
作者单位：Beihang University; Beihang University
摘要：This article is aimed at realizing cooperative learning for networked multiagent systems subject to uncertain nonlinear dynamics and switching topologies. A distributed control protocol is proposed by integrating the nearest neighbor rules and iterative updating rules. Thanks to cooperative learning, all agents can be ensured to track any prescribed reference robustly over any finite interval, regardless of the nonidentical locally Lipschitz nonlinearities of agents, initial state shifts, and ...
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作者：Kawan, Christoph; Yuksel, Serdar
作者单位：University of Munich; Queens University - Canada
摘要：Given a stochastic nonlinear system controlled over a possibly noisy communication channel, the article studies the largest class of channels for which there exist coding and control policies so that the closed-loop system is stochastically stable. The stability criterion considered is asymptotic mean stationarity (AMS). In this article, we develop a general method based on ergodic theory and probability to derive fundamental bounds on information transmission requirements leading to stabiliza...
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作者：Porter, Matthew; Hespanhol, Pedro; Aswani, Anil; Johnson-Roberson, Matthew; Vasudevan, Ramanarayan
作者单位：University of Michigan System; University of Michigan; University of California System; University of California Berkeley; University of Michigan System; University of Michigan
摘要：Cyber-physical systems (CPS) often rely on external communication for supervisory control or sensing. Unfortunately, these communications render the system vulnerable to cyber attacks. Attacks that alter messages, such as replay attacks that record measurement signals, and then play them back to the system can cause devastating effects. Dynamic Watermarking methods, which inject a private excitation into control inputs to secure resulting measurement signals, have begun addressing the challeng...
