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作者：Labar, Christophe; Ebenbauer, Christian; Marconi, Lorenzo
作者单位：University of Bologna; RWTH Aachen University
摘要：Extremum seeking systems are powerful methods able to steer the input of a (dynamical) cost function toward an optimizer, without any prior knowledge of the cost function. To achieve their objective, they typically combine time-periodic signals with the online measurement of the cost. However, in some practical applications, the cost can only be measured during some regular time-intervals, and not continuously, contravening the classical extremum seeking framework. In this article, we first an...
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作者：Cui, Yufang; Lindquist, Anders
作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University
摘要：Analytic interpolation problems with rationality and derivative constraints are ubiquitous in systems and control. This article provides a new method for such problems, both in the scalar and matrix case, based on a nonstandard Riccati-type equation. The rank of the solution matrix is the same as the degree of the interpolant, thus providing a natural approach to model reduction. A homotopy continuation method is presented and applied to some problems in modeling and robust control. We also ad...
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作者：Li, Bin; Tan, Yuan; Wu, Ai-Guo; Duan, Guang-Ren
作者单位：Sichuan University; Southeast University - China; Harbin Institute of Technology; Harbin Institute of Technology
摘要：Two stochastic model predictive control algorithms, which are referred to as distributionally robust model predictive control algorithms, are proposed in this article for a class of discrete linear systems with unbounded noise. Participially, chance constraints are imposed on both of the state and the control, which makes the problem more challenging. Inspired by the ideas from distributionally robust optimization (DRO), two deterministic convex reformulations are proposed for tackling the cha...
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作者：Kawano, Yu; Besselink, Bart
作者单位：Hiroshima University; University of Groningen
摘要：In this article, we study positive invariance and attractivity properties for nonlinear control systems, which are monotone with respect to proper cones. Monotonicity simplifies such analysis for specific sets defined by the proper cones. Instead of Lyapunov functions, a pair of so-called paths in the state space and input space play important roles. As applications, our results are utilized for analysis of asymptotic stability and also input-to-state stability on proper cones. The results are...
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作者：Liao, Yiwei; Li, Zhuorui; Huang, Kun; Pu, Shi
作者单位：The Chinese University of Hong Kong, Shenzhen; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Shenzhen Research Institute of Big Data; Shenzhen Research Institute of Big Data; The Chinese University of Hong Kong, Shenzhen; Shenzhen Institute of Artificial Intelligence & Robotics for Society; The Chinese University of Hong Kong, Shenzhen
摘要：Communication compression techniques are of growing interests for solving the decentralized optimization problem under limited communication, where the global objective is to minimize the average of local cost functions over a multiagent network using only local computation and peer-to-peer communication. In this article, we propose a novel compressed gradient tracking algorithm (C-GT) that combines gradient tracking technique with communication compression. In particular, C-GT is compatible w...
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作者：Xin, Ran; Khan, Usman A.; Kar, Soummya
作者单位：Carnegie Mellon University; Tufts University
摘要：In this article, we study decentralized nonconvex finite-sum minimization problems described over a network of nodes, where each node possesses a local batch of data samples. In this context, we analyze a single-timescale randomized incremental gradient method, called GT-SAGA. GT-SAGA is computationally efficient as it evaluates one component gradient per node per iteration and achieves provably fast and robust performance by leveraging node-level variance reduction and network-level gradient ...
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作者：Bouvier, Jean-Baptiste; Ornik, Melkior
作者单位：University of Illinois System; University of Illinois Urbana-Champaign
摘要：Critical systems must be designed resilient to malfunctions and especially to a loss of control authority over actuators. This malfunction considers actuators producing uncontrolled and possibly undesirable outputs. We investigate the design of resilient linear systems capable of reaching their target even after such a malfunction. In contrast with the settings considered by robust control and fault-tolerant control, we consider undesirable but observable inputs of the same magnitude as contro...
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作者：Li, Feng; Zheng, Wei Xing; Xu, Shengyuan
作者单位：Nanjing University of Science & Technology; Anhui University of Technology; Western Sydney University
摘要：This article considers the stabilization problem of discrete-time semi-Markov jump singularly perturbed systems, in which the system operation mode is hidden but can be estimated by a detector with some emission probabilities. To model this circumstance, the hidden semi-Markov model (HSMM) with partially known emission probabilities is introduced, where the hidden state represents the real system operation mode while the emitted value represents the estimated value of the system operation mode...
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作者：Russo, Giovanni; di Bernardo, Mario; Sontag, Eduardo D.
作者单位：University of Salerno; University of Naples Federico II; Northeastern University; Northeastern University
摘要：A small correction is made in the example of Section V (A representative application to networked systems) of the paper with the above title.
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作者：Kanellopoulos, Aris; Vamvoudakis, Kyriakos G.
作者单位：University System of Georgia; Georgia Institute of Technology
摘要：In this article, we investigate the behavior of agents with bounded rationality, attacking a set of stochastic sensors measuring the state of a binary event. The coordination problem between the attackers is formulated as a multiplayer non-zero-sum one-shot game. The objective of each attacker is to maximize the probability that a certain detector will produce an erroneous estimate of the true event, while they remain stealthy. To better predict the outcome of this game, we categorize the play...
