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作者：Zhao, Congran; Lin, Wei
作者单位：Jiangsu University; University System of Ohio; Case Western Reserve University
摘要：This article studies the problem of global asymptotic stabilization (GAS) by memoryless state and/or output feedback for a family of nonlinear systems with delays in the state and input. Under a linear growth condition, together with the lower-triangular bounding requirement, it is proved that GAS of the time-delay nonlinear system under consideration is achievable by memoryless state and output feedback, respectively, as long as the input delay is limited. With the aid of the Lyapunov-Krasovs...
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作者：Deutschmann-Olek, Andreas; Stadler, Georg; Kugi, Andreas
作者单位：Technische Universitat Wien; Technische Universitat Wien
摘要：This article presents a stochastically optimal iterative learning control (ILC) approach by designing a general integral learning operator which minimizes the expected mean-squares output error. The proposed learning law generalizes existing optimal PD-type learning laws and the resulting optimal learning operator turns out to be the solution of the noncausal Wiener-Hopf equation. The proposed solution can be interpreted as a systematic dual to traditional norm-optimal ILC schemes with superio...
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作者：Yuan, Yuan; Wang, Yingjie; Guo, Lei
作者单位：Northwestern Polytechnical University; Beihang University
摘要：In this article, the time-varying practical formation problem is investigated for a group of spacecrafts subjected to switching topologies, and time-delays. First, a sliding mode observer is designed to estimate the derivatives of time-varying delays. In virtue of the self-stable region, the sufficient condition is provided to guarantee that the error dynamics of the super-twisting sliding mode observer is convergent. Then, the sliding-mode-observer-based formation tracking protocol is designe...
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作者：Mabrok, Mohamed A.
摘要：In this article, we focus on studying the passivity properties of different versions of replicator dynamics (RD). The RD represents a deterministic monotone nonlinear dynamic, which allows incorporation of the distribution of population types through a fitness function. We use tools for control theory, in particular, the passivity theory, to study the stability of the RD when it is in action with evolutionary games. The passivity theory allows us to identify the class of evolutionary games in ...
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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...
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作者：Ratliff, Lillian J.; Fiez, Tanner
作者单位：University of Washington; University of Washington Seattle
摘要：We apply control theoretic and optimization techniques to adaptively design incentives for principal-agent problems in which the principal faces adverse selection in its interaction with multiple agents. In particular, the principal's objective depends on data from strategic decision makers (agents) whose decision-making process is unknown a priori. We consider both the cases where agents play best response to one another (Nash) and where they employ myopic update rules. By parametrizing the a...
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作者：Zhu, Shuaibing; Zhou, Jin; Lu, Jinhu; Lu, Jun-An
作者单位：Wuhan University; Beihang University; Beihang University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
摘要：Finite-time synchronization (FTS) of dynamical networks has received much attention in recent years, as it has fast convergence rate and good robustness. Most existing results rely heavily on some global condition such as the Lipschitz condition, which has limitations in describing the strong nonlinearity of most real systems. Dealing with strong nonlinearity in the field of FTS is still a challenging problem. In this article, the FTS problem of impulsive dynamical networks with general nonlin...
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作者：Basile, Francesco; De Tommasi, Gianmaria; Sterle, Claudio
作者单位：University of Salerno; University of Naples Federico II
摘要：Security of distributed control systems is affected by the presence of information leaks, which permit to external intruders to infer the state of the system itself. Noninterference deals with the absence of such leak paths in a dynamic system modeled as discrete-event system. For a system that presents information leaks, a supervisory control strategy to enforce noninterference is proposed in this article. The approach is based on the solution of optimization problems on a Petri net model of ...
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作者：Paternain, Santiago; Bazerque, Juan Andres; Small, Austin; Ribeiro, Alejandro
作者单位：University of Pennsylvania; Universidad de la Republica, Uruguay
摘要：Reinforcement learning consists of finding policies that maximize an expected cumulative long-term reward in a Markov decision process with unknown transition probabilities and instantaneous rewards. In this article, we consider the problem of finding such optimal policies while assuming they are continuous functions belonging to a reproducing kernel Hilbert space (RKHS). To learn the optimal policy, we introduce a stochastic policy gradient ascent algorithm with the following three unique nov...
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作者：Qin, Jiahu; Wang, Jie; Shi, Ling; Kang, Yu
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS; Hong Kong University of Science & Technology; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Chinese Academy of Sciences
摘要：This article is concerned with developing a novel distributed Kalman filtering algorithm over wireless sensor networks based on randomized consensus strategy. Compared with centralized algorithm, distributed filtering techniques require less computation per sensor and lead to more robust estimation since they simply use the information from the neighboring nodes in the network. However, poor local sensor estimation caused by limited observability and network topology changes, which interfere t...
