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作者:Xu, Haofeng; Zhu, Quanxin
作者单位:Hunan Normal University
摘要:This article is committed to the stability analysis of discrete-time impulsive stochastic systems involving hybrid nondeterministic delays. We develop several novel criteria of weakly globally stochastically exponential stability for the suggested systems by means of delayed inequality approach under impulsive disturbance and Razumikhin method under impulsive control, respectively. It should be highlighted that different from the majority works that focused on constant delays or time-dependent...
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作者:Gao, Shuai; Shen, Dong; Tayebi, Abdelhamid
作者单位:Renmin University of China; Lakehead University; Shandong University
摘要:We address the tracking problem for a class of uncertain nonaffine nonlinear systems with high relative degrees, performing nonrepetitive tasks. We propose a rigorously proven, robust adaptive learning control scheme that relies on a gradient descent parameter adaptation law to handle the unknown time-varying parameters of the system, along with a state estimator that estimates the unmeasurable state variables. Furthermore, despite the inherently complex nature of the nonaffine system, we prov...
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作者:Liu, Changrui; Shi, Shengling; De Schutter, Bart
作者单位:Delft University of Technology; Massachusetts Institute of Technology (MIT)
摘要:Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often makes it less desirable. Certainty-equivalence MPC (CE-MPC), which uses the nominal model, offers an appealing alternative due to its design simplicity and low computational cost. This article investigates CE-MPC for uncertain nonlinear systems with multiplicative parametric uncertainty and input constraints that are inactive at the steady state. The primary co...
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作者:Ran, Ning; Wu, Zhengguang; Zhang, Shaokang; He, Zhou; Seatzu, Carla
作者单位:Hebei University; Zhejiang University; Hebei University; Shaanxi University of Science & Technology; University of Cagliari
摘要:This article focuses on a fundamental problem on information security of bounded labeled Petri nets: noninterference analysis. As in hierarchical control, we assume that a system is observed by users at different levels, namely, high-level users and low-level users. The output events produced by the firing of transitions are also partitioned into high-level output events and low-level output events. In general, high-level users can observe the occurrence of all the output events, while low-lev...
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作者:Refosco, Pietro A.; Edwards, Christopher; Papageorgiou, Dimitrios
作者单位:Technical University of Denmark; University of Exeter
摘要:This study investigates the behavior of super-twisting sliding-mode control loops that are subject to a class of bounded-rate perturbations when the established conditions for finite-time stability (FTS) do not hold. The motivation for this consideration is that oftentimes imposing the FTS conditions, i.e., requiring that the integral gain of the controller be larger than the total perturbation derivative, can be very restrictive in relation to actuator limitations. It is proven that under mil...
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作者:Li, Xu; Li, Xu-Guang; Zhang, Lu; Chen, Jun-Xiu
作者单位:Nanjing University of Posts & Telecommunications; Northeastern University - China; Northeastern University - China; Northeastern University - China; Dalian Polytechnic University
摘要:The frequency-sweeping approach is an important and well-known tool for stability analysis of time-delay systems with commensurate delays. However, when it is used to detect critical imaginary roots (CIRs), the accuracy is regarded to be highly related to the numerical grid for sweeping the frequency axis. To the best of the authors' knowledge, the characterization of CIRs for most reported approaches has not reached a completely algebraic level. In this article, we introduce a polynomial alge...
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作者:Verges, Fortia V.; Fragoso, Marcelo D.; Costa, Oswaldo Luiz do Valle
作者单位:Laboratorio Nacional de Computacao Cientifica (LNCC); Universidade de Sao Paulo
摘要:The purpose of this article is to derive an optimal linear filter and its associated stationary filter for hidden phase-type (PH) semi-Markov models. We formulate the PH semi-Markov model as an equivalent Markov process with two components, the first one representing the mode of the semi-Markov process, and the second one associated with the transient states (phases). It is worth mentioning that PH distributions can approximate (in the weak convergence sense) any distribution with nonzero dens...
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作者:Li, Yudong; Cong, Yirui; Zhou, Xiangyun; Dong, Jiuxiang
作者单位:Northeastern University - China; Northeastern University - China; National University of Defense Technology - China; Australian National University
摘要:This article studies the optimal set-membership smoothing (SMSing) problem for the system with bounded noises. By adopting the mathematical concept of uncertain variables, an optimal SMSing framework is established for the first time. This optimal framework reveals the principles of SMSing and the relationship between set-membership filtering and smoothing. Based on the design principles, we put forward two SMSing algorithms: one for linear systems with zonotopic constrained uncertainties, whe...
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作者:Wu, Ai-Guo; Shen, Shi-Long; Zhang, Jie; Mei, Jie
作者单位:Harbin Institute of Technology; Southern University of Science & Technology
摘要:In this article, the model reduction approach is investigated for discrete-time linear coupled systems with input delays. For this purpose, a new class of fundamental matrices is presented for state response analysis of this kind of systems. In order to characterize the effect of all initial values, this new fundamental matrix is defined in terms of two independent variables, and thus is called the bivariate fundamental matrix. Besides, some interesting properties of bivariate fundamental matr...
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作者:Gopalan, Aditya; Thoppe, Gugan
作者单位:Indian Institute of Science (IISC) - Bangalore; Indian Institute of Science (IISC) - Bangalore
摘要:A primary requirement for any reinforcement learning method is that it should produce policies that improve upon the initial guess. In this work, we show that the widely used deep Q-network (DQN) fails to satisfy this minimal criterion-even when it gets to see all possible states and actions infinitely often (a condition under which tabular Q-learning is guaranteed to converge to the optimal Q-value function). Our specific contributions are twofold. First, we numerically show that DQN often re...