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作者：Wang, Honghai; Han, Qing-Long
作者单位：Northeastern University - China; Swinburne University of Technology
摘要：This article develops an approach to achieving consensus while improving the dynamic performance for a class of homogeneous multi-agent systems (MASs) using delayed state information via eigenvalue assignment. Note that the distribution of roots of quasi-polynomials plays a fundamental role in the consensus protocol design of the MASs. Some necessary conditions for the distribution of roots for a class of quasi-polynomials are first derived. Then, these conditions are applied to estimate the a...
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作者：Zhao, Jianguo; Yang, Chunyu; Gao, Weinan; Park, Ju H.
作者单位：China University of Mining & Technology; Northeastern University - China; Yeungnam University
摘要：This article provides novel results on the infinite-horizon linear quadratic tracking (LQT) problem for continuous-time systems. In order to fulfill optimality for the tracker design, we introduce a new performance index to reformulate the LQT problem in terms of the minimal polynomial of the exosystem that generates the reference trajectory. We prove that, under routine assumptions, the obtained solution to the formulated LQT problem realizes both closed-loop stability and asymptotic tracking...
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作者：Gao, Bolin; Pavel, Lacra
作者单位：University of Toronto
摘要：In this article, we propose a second-order extension of the continuous-time game-theoretic mirror descent (MD) dynamics, referred to as MD2, which provably converges to mere (but not necessarily strict) variationally stable states (VSS) without using common auxiliary techniques, such as time-averaging or discounting. We show that MD2 enjoys no-regret as well as an exponential rate of convergence toward strong VSS upon a slight modification. MD2 can also be used to derive many novel continuous-...
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作者：Gutierrez-Pachas, Daniel A.; Costa, Eduardo F.; Vargas, Alessandro N.
作者单位：Universidad Catolica San Pablo; Universidade de Sao Paulo; Universidade Tecnologica Federal do Parana
摘要：This article studies the linear-quadratic optimal control of linear systems with jump parameters driven by a Markov chain in reverse-time, anticipative observation of the jump variable, and exogenous inputs. This type of problem appears, for example, when a system with Markov jumps interacts with a first-in last-out queue, as illustrated in different contexts in this article. The solution is given in terms of precomputable, coupled Riccati equations, and the number of variables depends on the ...
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作者：Peng, Bowen; Zhang, Zhirong; Song, Yongduan
作者单位：Chongqing University; Nanyang Technological University; Chongqing University; Chongqing University
摘要：In this article, we study the cooperative dynamic coverage control problem by using viability theory. We focus on the intertemporal coverage optimization for nonlinear mobile sensor networks with mobility constraint, arbitrary sensory range, and obstacle avoidance over large-scale domains, which remains to be an interesting open problem prior to this work. Our proposed cooperative coverage control law enables the constrained sensor networks to minimize the overall intertemporal cost of the dis...
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作者：Meng, Xiangzheng; Mei, Jie; Miao, Zibo; Wu, Aiguo; Ma, Guangfu
作者单位：Harbin Institute of Technology; Harbin Institute of Technology
摘要：In this note, the distributed leaderless consensus problem of multiple Euler-Lagrange systems under switching directed graphs using only position measurements is investigated. We adopt a model reference adaptive consensus strategy to assign each agent a reference to track, which transforms the consensus problem into a trajectory tracking problem. Due to the absence of velocity information, a velocity filter and a third-order linear reference model are designed for each agent. The proposed cons...
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作者：Obara, Mitsuaki; Sato, Kazuhiro; Sakamoto, Hiroki; Okuno, Takayuki; Takeda, Akiko
作者单位：University of Tokyo; Seikei University; RIKEN
摘要：We consider an identification method for a linear continuous time-invariant autonomous system from noisy state observations. In particular, we focus on the identification to satisfy the asymptotic stability of the system with some prior knowledge. To this end, we propose to model this identification problem as a Riemannian nonlinear optimization (RNLO) problem, where the stability is ensured through a certain Riemannian manifold and the prior knowledge is expressed as nonlinear constraints def...
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作者：Sznaier, Mario; Zhang, Xikang; Camps, Octavia
作者单位：Northeastern University; Microsoft
摘要：This article considers the problem of error in variables identification for switched affine models. Since it is well known that this problem is generically NP-hard, several relaxations have been proposed in the literature. However, while these approaches work well for low-dimensional systems with few subsystems, they scale poorly with both the number of subsystems and their memory. To address this difficulty, we propose a computationally efficient alternative, based on embedding the data in th...
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作者：Tan, Yuan; Yang, Jun; Chen, Wen-Hua; Li, Shihua
作者单位：Southeast University - China; Loughborough University
摘要：In this work, we propose a distributionally robust stochastic model predictive control (DR-SMPC) algorithm to address the problem of multiple two-sided chance constrained discrete-time linear systems corrupted by additive noise. The prevalent mechanism to cope with two-sided chance constraints is the so-called risk allocation approach, which conservatively approximates the two-sided chance constraints with two single chance constraints by applying Bool's inequality. In this proposed DR-SMPC fr...
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作者：Casau, Pedro; Sanfelice, Ricardo G.; Silvestre, Carlos
作者单位：Universidade de Aveiro; Universidade de Aveiro; University of California System; University of California Santa Cruz; University of Macau; Universidade de Lisboa
摘要：Synergistic hybrid feedback refers to a collection of feedback laws that allow for the global asymptotic stabilization of a compact set through the following switching logic: given a collection of Lyapunov functions that are indexed by a logic variable, whenever the currently selected Lyapunov function exceeds the value of another function in the collection by a given margin, then a switch to the corresponding feedback law is triggered. This kind of feedback has been under development over the...
