-
作者：Dong, Zhiyuan; Zhang, Guofeng; Lee, Heung-wing Joseph; Petersen, Ian R.
作者单位：Harbin Institute of Technology; Hong Kong Polytechnic University; Hong Kong Polytechnic University; Australian National University
摘要：noncommutative nature of quantum mechanics imposes fundamental constraints on system dynamics, which, in the linear realm, are manifested through the physical realizability conditions on system matrices. These restrictions give system matrices a unique structure. This article aims to study this structure by investigating the zeros and poles of linear quantum systems. First, it is shown that-s(0) is a transmission zero if and only if s(0) is a pole of the transfer function, and-s(0) is an invar...
-
作者：Ren, Xiaoxing; Bastianello, Nicola; Johansson, Karl H.; Parisini, Thomas
作者单位：Cornell University; Royal Institute of Technology; Imperial College London; Aalborg University; University of Trieste
摘要：We address distributed learning problems, both nonconvex and convex, over undirected networks. In particular, we design a novel algorithm based on the distributed to tackle the challenges of high communication costs, and large datasets. Our design deals with these challenges: first, by enabling the agents to perform multiple local training steps between each round of communications; second, by allowing the agents to employ stochastic gradients while carrying out local computations. We show tha...
-
作者：Chen, Ziyue; Wang, Guangchen; Zhang, Qi
作者单位：Fudan University; Shandong University
摘要：In this article, we study the optimal exploratory control for an entropy-regularized backward stochastic control system with partial information. The stochastic maximum principle are given for the concerned nonlinear system. Then, the existence and uniqueness of optimal control for the entropy-regularized linear quadratic control problem with partial information is proved. Based on theoretical results, we design an efficient iterative algorithm for optimal control of linear-convex stochastic s...
-
作者：Zergeroglu, Erkan; Tatlicioglu, Enver; Obuz, Serhat
作者单位：Gebze Technical University; Ege University; Tarsus University
摘要：This work presents a novel solution to adaptive output feedback position tracking control of a class of nonlinear systems with guaranteed dynamical parameter estimation. Specifically, a concurrent learning-based update rule fused by the filtered version of the desired system dynamics in conjunction with a desired state-based regression matrix have been utilized to ensure that both the position tracking error and parameter estimation error terms converge to origin exponentially while requiring ...
-
作者：Ionescu, Tudor C.; Iftime, Orest V.; Stefan, Radu
作者单位：National University of Science & Technology POLITEHNICA Bucharest; Romanian Academy; University of Groningen; National University of Science & Technology POLITEHNICA Bucharest
摘要：In this article, we use frequency domain data interpolation techniques to develop a Loewner matrices-based loopshaping design method for a system with unknown nominal plant (e.g., state-space, transfer function, etc., are not available) in a class of finite-dimensional, linear, time-invariant, stable, minimum-phase systems, with multiplicative uncertainty, such that closed-loop robust stability and performance are guaranteed. First, we briefly revisit the moment matching problem with preservat...
-
作者：Xian, Chengxin; Zhao, Yu; Ho, Daniel W. C.; Chen, Guanrong
作者单位：City University of Hong Kong; Northwestern Polytechnical University; City University of Hong Kong
摘要：This article establishes a general framework for solving the fully distributed adaptive optimal coordination (DAOC) problem of heterogeneous linear multiagent networks over undirected or directed communication networks. The fully DAOC problem aims to design distributed optimization algorithms for a set of heterogeneous linear agents, such that the output of each agent can be driven to the optimal state so as to optimize the whole system's performance without the need of global information in t...
-
作者：Iwasaki, Tetsuya; Taneja, Laqshya
作者单位：University of California System; University of California Los Angeles
摘要：In this article, we consider the linear plant with multiple pairs of input and output channels, and solve the problem of designing a stabilizing controller consisting of a set of control stations, one for each channel pair, connected with an arbitrarily fixed network topology and communication dynamics. It is shown that such a stabilizing distributed controller exists if and only if the fixed modes of the plant, augmented with the network communication, are stable; this leverages and extends t...
-
作者：Wang, Zifan; Yi, Xinlei; Shen, Yi; Zavlanos, Michael M.; Johansson, Karl H.
作者单位：Royal Institute of Technology; Tongji University; Tongji University; Duke University
摘要：This article considers convex games involving multiple agents that aim to minimize their own cost functions using locally available information. A common assumption in the study of such games is that the agents are symmetric, meaning that they have access to the same type of information. Here, we lift this assumption, which is often violated in practice, and instead consider asymmetric agents; specifically, we assume that some agents have access to first-order gradient information and others h...
-
作者：Disaro, Giorgia; Fattore, Giulio; Valcher, Maria Elena
作者单位：University of Padua
摘要：This article addresses the distributed state estimation problem for a discrete-time linear and time-invariant (LTI) state-space model, whose state equation is affected by disturbances. A connected sensor network, in which each sensor has access only to part of the control inputs and provides its own output signal (that represents a partial indirect measurement of the state), is deployed to reconstruct the state of a system. Such sensors exchange information with the goal of achieving consensus...
-
作者：Li, Yuchao; Karapetyan, Aren; Schmid, Niklas; Lygeros, John; Johansson, Karl H.; Martensson, Jonas
作者单位：Royal Institute of Technology; Arizona State University; Arizona State University-Tempe; Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：In this note, we consider infinite horizon optimal control problems with deterministic systems. Since exact solutions to these problems are often intractable, we propose a parallel model predictive control (MPC) method that provides an approximate solution. Our method computes multiple lookahead minimization problems at each time, where each minimization may involve a different number of lookahead steps, and terminal cost and constraint. The policy computed via parallel MPC applies the first c...
