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作者：Wu, Xiaotai; Zheng, Wei Xing; Tang, Yang; Jin, Xin
作者单位：Anhui Polytechnic University; Western Sydney University; East China University of Science & Technology
摘要：The average impulsive interval is widely used to describe the frequency of impulsive occurrence (FIO), where the occurrence number of impulses is bounded by a linear function of time interval length. However, the linear relationship may insufficiently or excessively characterize the occurrence number of impulses to stabilize impulsive time-varying systems. In this article, the impulsive density is introduced to describe a time-varying FIO, such that the occurrence number of impulses can be cha...
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作者：Deng, Li; Shu, Zhan; Chen, Tongwen
作者单位：University of Alberta
摘要：This article is concerned with event-triggered robust model predictive control for linear discrete-time systems with bounded disturbances. A two-step scheme involving a tentative verification of a triggering condition and a delayed triggering with a waiting horizon is proposed to reduce the average triggering rate and fully utilize the nominal optimal control sequence minimizing a quadratic cost function. The triggering condition and the waiting horizon are synthesized based on a prediction mo...
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作者：Huang, Lirong; Xu, Sheng
作者单位：Guangdong University of Technology; Guangdong University of Technology
摘要：Input delay could lead to instability of an impulsive control system. However, the problem of input delay has been seldom studied. This work addresses the fundamentally important problem in impulsive control theory. By a novel approach, we establish Lyapunov-Razumikhin-type theorems on exponential stability of stochastic impulsive delay systems. Based on our fundamental results, we develop a foundational theory for the impulsive stabilization of stochastic delay systems with input delay. Our p...
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作者：Yang, Liu; Fei, Zhongyang; Wang, Zhenhua; Ki Ahn, Choon
作者单位：Harbin Institute of Technology; Dalian University of Technology; Dalian University of Technology; Harbin Institute of Technology; Korea University
摘要：This study considers the problem of interval estimation for event-triggered 2-D systems in Fornasini-Marchesini local state-space (FMLSS) model. In such systems, the general hypothesis for practical applications is that exogenous disturbances and measurement noise are unknown but bounded. First, an observer design criterion is deduced from the defined zonotopic radius and weighted radius of the FMLSS model. Subsequently, to economize the restricted communication resources, an event-driven data...
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作者：Soloperto, Raffaele; Muller, Matthias A.; Allgower, Frank
作者单位：University of Stuttgart; Leibniz University Hannover
摘要：In this article, we propose a novel learning-based model predictive control framework for nonlinear systems which is able to guarantee closed-loop learning of the controlled system. We consider a cost function that combines a general economic cost with a user-defined learning cost function that aims at incentivizing learning of the unknown system. In particular, due to the finite horizon of the MPC scheme and to the presence of disturbances, the open-loop trajectory usually differs from the cl...
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作者：Zholbaryssov, Madi; Hadjicostis, Christoforos N.; Dominguez-Garcia, Alejandro D.
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; University of Cyprus
摘要：In this article, we consider the problem of optimally coordinating the response of a group of distributed energy resources (DERs) controlled by distributed agents so they collectively meet the electric power demanded by a collection of loads while minimizing the total generation cost and respecting the DER capacity limits. This problem can be cast as a convex optimization problem, where the global objective is to minimize a sum of convex functions corresponding to individual DER generation cos...
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作者：Bikas, Lampros N. N.; Rovithakis, George A. A.
作者单位：Aristotle University of Thessaloniki
摘要：In this article, we design a low-complexity state-feedback controller for uncertain multi-input and multi-output (MIMO) nonlinear systems, capable of imposing prespecified performance attributes (in terms of maximum steady-state error and minimum convergence rate) on the output tracking errors, in the presence of time-varying delays both in the state measurement and control input signals. The state measurement delay is considered known and the control input delay unknown though bounded by some...
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作者：Mo, Yuanqiu; Dasgupta, Soura; Beal, Jacob
作者单位：Westlake University; University of Iowa; Qilu University of Technology; RTX Corporation; Raytheon BBN Technologies
摘要：Spreading informationthrough a network of devices is a core activity for most distributed systems. Self-stabilizing algorithms for information spreading are one of the key building blocks enabling aggregate computing to provide resilient coordination in open complex distributed systems. This article improves a general spreading block in the aggregate computing literature by making it resilient to network perturbations, establishes its global uniform asymptotic stability, and proves that it is ...
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作者：Yu, Hao; Chen, Tongwen
作者单位：University of Alberta
摘要：This article studies periodic event-triggered networked control for nonlinear systems, where the plants and controllers are connected by multiple independent communication channels. Several network-induced imperfections are considered simultaneously, including time-varying intersampling times, sensor node scheduling, and especially, large time-varying transmission delays, where the transmitted signal may arrive at the destination node after the next transmission occurs. A new hybrid system app...
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作者：Cao, Wenqi; Lindquist, Anders; Picci, Giorgio
作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University; University of Padua
摘要：Rank-deficient stationary stochastic vector processes are present in many problems in network theory and dynamic factor analysis. In this article, we study the hidden dynamical relations between the components of a discrete-time stochastic vector process and investigate their properties with respect to stability and causality. More specifically, we construct transfer functions with a full-rank input process formed from selected components of the given vector process and having a vector process...
