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作者:Ye, Maojiao; Ding, Lei; Xu, Shengyuan; Shi, Jun
作者单位:Nanjing University of Science & Technology; Nanjing University of Posts & Telecommunications
摘要:In this article, a new regularized consensus perspective is presented for solving distributed optimization problems among a network of heterogeneous linear dynamic agents. The distributed optimization problem can be viewed as a consensus problem, in which the consensus direction should be regularized to optimize the sum of the agents' objective functions. Based on this idea, a regularized consensus mapping is defined, by which a continuous-time distributed optimization algorithm is established...
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作者:Gonzalez, Andres; Ovalle, Luis; Fridman, Leonid
作者单位:Universidad Nacional Autonoma de Mexico
摘要:Barrier function adaptation for sliding-mode controllers ensures not only that the system trajectories belong to the barrier function width but also the solutions, after a finite time, belong to a smaller positively invariant subset of the barrier function width whose size depends on the upper bound of the perturbations. In this article, the barrier function methodology is extended to a class of signed power-based controllers. It turns out that, whenever the upper bound of the perturbation is ...
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作者:Liu, Yang; Zuo, Zongyu; Song, Jia; Li, Wenling
作者单位:Beihang University; Beihang University; Beihang University
摘要:In this article, the fixed-time consensus control is addressed for general linear multiagent systems guided by a dynamic leader with control inputs. A new fixed-time consensus protocol is proposed based on the specific coordinate transformation and a distributed observer to estimate the leader's state information, provided that each agent in the group is controllable. It is proved that the consensus can be realized within a finite time, and an upper bound of the convergence time is also given ...
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作者:Wang, Miaomiao; Tayebi, Abdelhamid
作者单位:Huazhong University of Science & Technology; Lakehead University; Western University (University of Western Ontario)
摘要:This article explores the design of hybrid feedback for a class of affine nonlinear systems with topological constraints that prevent global asymptotic stability. A new hybrid control strategy is introduced, which differs conceptually from the commonly used synergistic hybrid approaches. The key idea involves the construction of a generalized synergistic Lyapunov function whose switching variable can either remain constant or dynamically change between jumps. Based on this new hybrid mechanism...
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作者:Kitsos, Constantinos; Fridman, Emilia
作者单位:Tel Aviv University
摘要:This work concerns the exponential stabilization of underactuated linear homogeneous systems of $m$ parabolic partial differential equations (PDEs) in cascade (reaction-diffusion systems), where only the first state is controlled either internally or from the right boundary and in which the diffusion coefficients are distinct. For the distributed control case, a proportional-type stabilizing control is given explicitly. After applying modal decomposition, the stabilizing law is based on a tran...
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作者:Li, Wuquan; Krstic, Miroslav
作者单位:Ludong University; University of California System; University of California San Diego
摘要:We present new prescribed-time designs for strict-feedback nonlinear systems with multiplicative measurement noise. When the noise is small and linearly vanishing, we first propose a new postulated feedback to solve the prescribed-time mean-square stabilization problem, then redesign the control gains, which is not only optimal with respect to a meaningful cost functional but also globally stabilizes the closed-loop system in the prescribed-time. When the noise is arbitrary large but vanishing...
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作者:Zhou, Bing; Huang, Xiucai; Song, Yongduan; Lewis, Frank L.
作者单位:Chongqing University
摘要:Most existing control methods for multi-input multi-output (MIMO) uncertain nonlinear systems can only achieve uniformly ultimately bounded stability with conservative controllability condition. In this note, for a larger class of uncertain MIMO strict-feedback nonlinear systems, we present a control solution with enhanced controllability condition by resorting to certain feasible auxiliary matrices, upon which a neural adaptive control scheme is developed that is able to achieve asymptotic tr...
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作者:Chen, Ci; Lewis, Frank L.; Xie, Kan; Xie, Shengli
作者单位:Guangdong University of Technology; Guangdong University of Technology; Guangdong University of Technology
摘要:As one efficient technique in reinforcement learning, policy iteration (PI) requires an initial admissible (or stabilizing for linear systems) control policy that renders the existing PI-based results to be model dependent. To attain a completely data-driven adaptive optimal control, this article suggests integrating a homotopic design with PI for unknown continuous-time nonlinear systems. Technically, we leverage a homotopic constant to construct an artificially stable system that allows zero...
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作者:Jiang, Xiaowei; Yan, Huaicheng; Li, Bo; Zheng, Shiqi; Huang, Tingwen; Shi, Peng
作者单位:China University of Geosciences; East China University of Science & Technology; Hubei University of Technology; Anhui University of Finance & Economics; Qatar Foundation (QF); Texas A&M University Qatar; University of Adelaide; Obuda University
摘要:For networked systems, the communication processes between sensors, actuators, and controllers pose many challenges such as instability and performance degradation that may result from bandwidth limitations, signal-to-noise ratio constraints, and frequent occurrences of packet loss. The constraints of these elements can negatively affect the performance of control systems. In this study, we used a fading channel model to analyze the fundamental tracking performance of a networked control syste...
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作者:Liu, Pin; Xiao, Feng; Wei, Bo; Yu, Mei
作者单位:North China Electric Power University; North China Electric Power University
摘要:This article investigates the constrained noncooperative game problems where players with individual dynamics are subject to local strategy set constraints and global nonlinear inequality constraints. The cost function of each player depends on the strategies of all players and is only locally accessible to the player. With only the local information, players estimate all others' strategies and deal with coupled constraints by communicating with their neighbors in a graph. To avoid the usage o...