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作者：Jiang, Bangxin; Lu, Jianquan; Li, Xiaodi; Qiu, Jianlong
作者单位：Southeast University - China; Chengdu University; Shandong Normal University; Linyi University
摘要：In this article, we investigate the robust stabilization of linear time-invariant (LTI) systems with external disturbances via event-triggered impulsive control (ETIC). Especially, in order to suppress the disturbances effectively, the impulsive instant sequence is generated through the sliding-variable-based event-triggering mechanism (ETM). Based on the proposed ETM, some sufficient conditions are derived to ensure the robust stabilization of the LTI systems and to exclude Zeno phenomenon. I...
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作者：Avila, Daniel; Junca, Mauricio
作者单位：Universite Catholique Louvain; Universidad de los Andes (Colombia)
摘要：We consider a Markov control model in discrete time with countable both state space and action space. Using the value function of a suitable long-run average reward problem, we study various reachability/controllability problems. First, we characterize the domain of attraction and escape set of the system, and a generalization called p-domain of attraction, using the aforementioned value function. Next, we solve the problem of maximizing the probability of reaching a set A while avoiding a set...
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作者：Guo, Nian; Kostina, Victoria
作者单位：California Institute of Technology
摘要：We consider the following communication scenario. An encoder causally observes the Wiener process and decides when and what to transmit about it. A decoder estimates the process using causally received codewords in real time. We determine the causal encoding and decoding policies that jointly minimize the mean-square estimation error, under the long-term communication rate constraint of R bits per second. We show that an optimal encoding policy can be implemented as a causal sampling policy fo...
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作者：Oymak, Samet; Ozay, Necmiye
作者单位：University of California System; University of California Riverside; University of Michigan System; University of Michigan
摘要：Weconsider the problem of learning a realization for a linear time-invariant (LTI) dynamical system from input/output data. Given a single input/output trajectory, we provide finite time analysis for learning the system's Markov parameters, from which a balanced realization is estimated using the classical Ho-Kalman algorithm. By proving a robustness result for the Ho-Kalman algorithm and combining it with the sample complexity results for Markov parameters, we show how much data are needed to...
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作者：Zhong, Qing-Chang; Stefanello, Marcio
作者单位：Illinois Institute of Technology; Universidade Federal do Pampa
摘要：In this article, a control framework is proposed to render a power electronic system passive by adopting the port-Hamiltonian (pH) systems theory. The system has a power electronic converter, either grid-tied or islanded. The control framework consists of a lossless interconnection block and three control channels. It makes the power converter behave as a virtual synchronous machine (VSM). The three channels are designed to, respectively, generate the frequency and the flux of the VSM and a th...
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作者：Ntemos, Konstantinos; Pikramenos, George; Kalouptsidis, Nicholas
作者单位：National & Kapodistrian University of Athens
摘要：In this article, we study the problem of information sharing among rational self-interested agents as a dynamic game of asymmetric information. We assume that the agents imperfectly observe a Markov chain, and they are called to decide whether they will share their noisy observations or not at each time instant. We utilize the notion of conditional mutual information to evaluate the information being shared among the agents. The challenges that arise due to the interdependence of agents' infor...
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作者：Pirastehzad, Armin; Yazdanpanah, Mohammad Javad
作者单位：University of Tehran; University of Tehran
摘要：Through the combination of contraction mapping and pseudospectral method, we propose a successive approximation technique to approximate the solution of a class of regulator equations with periodic exosystems and hyperbolic zero dynamics. In this scheme, the initial points of flows on the zero-error constrained manifolds are approximated successively as the fixed point of a contractive integral mapping. Accordingly, flows are obtained by utilizing the scaled Fourier-Gauss-Radau collocation met...
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作者：Qian, Chunjiang; He, Shuaipeng; Zou, Yunlei
作者单位：University of Texas System; University of Texas at San Antonio; Yangzhou University
摘要：This article considers the problem of output feedback stabilization for a class of nonlinear planar systems with unknown structures and measurements, which prevent the construction of conventional state observers. By taking advantage of the stability-increasing capability of a lead compensator, we propose a dynamic output feedback controller to globally stabilize the uncertain planar systems. For the special case of linear planar systems with unknown coefficients, a finite-time output feedback...
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作者：Tanaka, Takashi; Sandberg, Henrik; Skoglund, Mikael
作者单位：University of Texas System; University of Texas Austin; Royal Institute of Technology
摘要：We consider the framework of transfer-entropy-regularized Markov decision process (TERMDP) in which the weighted sum of the classical state-dependent cost and the transfer entropy from the state random process to the control input process is minimized. Although TERMDPs are generally formulated as nonconvex optimization problems, an analytical necessary optimality condition can be expressed as a finite set of nonlinear equations, based on which an iterative forward-backward computational proced...
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作者：Yan, Rui; Duan, Xiaoming; Shi, Zongying; Zhong, Yisheng; Marden, Jason R.; Bullo, Francesco
作者单位：Tsinghua University; University of California System; University of California Santa Barbara; University of California System; University of California Santa Barbara; University of California System; University of California Santa Barbara
摘要：Multiagent policy evaluation and seeking are long-standing challenges in developing theories for multiagent reinforcement learning (MARL), due to multidimensional learning goals, nonstationary environment, and scalability issues in the joint policy space. This article introduces two metrics grounded on a game-theoretic solution concept called sink equilibrium, for the evaluation, ranking, and computation of policies in multiagent learning. We adopt strict best response dynamics (SBRDs) to mode...
