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作者：Zhao, Guanglei; Hua, Changchun
作者单位：Yanshan University; Yanshan University
摘要：This article addresses the event-triggered consensus problem of multiagent systems (MAS) with disturbances. Model-based control protocols are designed, and a hybrid dynamic event-triggering mechanism (HDETM) is proposed. Based on the proposed event-triggered control protocol, continuous communication between neighboring agents is not needed, and a prespecified strictly positive minimum ETI is guaranteed, i.e., Zeno behavior is excluded. A timer variable with jump dynamics is introduced to desc...
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作者：Bikas, Lampros N.; Rovithakis, George A.
作者单位：Aristotle University of Thessaloniki
摘要：In a networked control system (NCS) environment, where all closed-loop signals (control and state) are quantized, we consider the problem of establishing prescribed, transient, and steady-state, performance guarantees on the output tracking error (minimum convergence rate, maximum steady-state error). The controlled system is of high relative degree, multi-input multi-output (MIMO), uncertain, nonlinear, and time-varying. The proposed control solution is of low-complexity, in the sense that no...
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作者：Costa Alberto, Luis Fernando; Siqueira, Daniel S.; Bretas, Newton Geraldo; Chiang, Hsiao-Dong
作者单位：Universidade de Sao Paulo; Cornell University
摘要：Nonlinear dynamical systems exhibiting complex structure in their limit sets, such as chaotic and closed orbits, do not admit energy functions. The theory of generalized energy functions, which may assume positive derivative in some bounded sets, appears as an alternative to study the asymptotic behavior of solutions of these systems. In this article, a generalized energy function and a complete characterization of the stability boundary and stability region are developed for a class of third-...
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作者：Lin, Feng; Wang, Le Yi; Chen, Wen; Polis, Michael P.
作者单位：Wayne State University; Wayne State University; Oakland University
摘要：In this article, we investigate controllability of hybrid systems. We use hybrid machines to model such hybrid systems. The model consists of an automaton and a linear time-invariant system. The control goal is to drive the continuous state from any initial state to any final state. To achieve this goal, controls at both the discrete-event level and the continuous-variable level are used. Control at the discrete-event level can force some forcible events, and disable some controllable events. ...
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作者：Jagtap, Pushpak; Soudjani, Sadegh; Zamani, Majid
作者单位：Technical University of Munich; Newcastle University - UK; University of Colorado System; University of Colorado Boulder; University of Munich
摘要：This article focuses on synthesizing control policies for discrete-time stochastic control systems together with a lower bound on the probability that the systems satisfy the complex temporal properties. The desired properties of the system are expressed as linear temporal logic specifications over finite traces. In particular, our approach decomposes the given specification into simpler reachability tasks based on its automata representation. We, then, propose the use of so-called control bar...
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作者：Liu, Changxin; Li, Huiping; Shi, Yang
作者单位：University of Victoria; Northwestern Polytechnical University
摘要：This article addresses the decentralized optimization problem where a group of agents with coupled private objective functions work together to exactly optimize the summation of local interests. Upon modeling the decentralized problem as an equality-constrained centralized one, we leverage the linearized augmented Lagrangian method to design an event-triggered decentralized algorithm that only requires light local computation at generic time instants and peer-to-peer communication at sporadic ...
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作者：Taghvaei, Amirhossein; Mehta, Prashant G.
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of California System; University of California Irvine; University of Illinois System; University of Illinois Urbana-Champaign; University of Illinois System; University of Illinois Urbana-Champaign
摘要：Controlled interacting particle systems such as the ensemble Kalman filter (EnKF) and the feedback particle filter (FPF) are numerical algorithms to approximate the solution of the nonlinear filtering problem in continuous time. The distinguishing feature of these algorithms is that the Bayesian update step is implemented using a feedback control law. It has been noted in the literature that the control law is not unique. This is the main problem addressed in this article. To obtain a unique c...
