-
作者：Li, Yongqiang; Zhu, Longfei; Lu, Chaolun; Feng, Yu; Hou, Zhongsheng; Feng, Yuanjing
作者单位：Zhejiang University of Technology; Zhejiang Police College; Qingdao University
摘要：This technical note deals with asymptotic stabilization of general nonlinear discrete-time systems by dynamic output feedback control. First, a sufficient condition for the dynamic output feedback stabilization with the closed-loop domain of attraction (DOA) estimation is given. For a given Lyapunov function of the plant state and the controller state, the negative-definite domain (NDD) in the (z+-u-z-y)-space is proposed, where z+, u, z, and y denote the next controller state, the current con...
-
作者：Mesquita, Alexandre R.
作者单位：Universidade Federal de Minas Gerais
摘要：Model estimates obtained from traditional subspace identification methods may be subject to significant variance. This elevated variance is aggravated in the cases of high-dimensional models, limited sample size, or high noise level. Common solutions in statistics to reduce the effect of variance are regularized estimators, shrinkage estimators, and Bayesian estimation. In the current work, we investigate the latter two solutions, which are relatively unexplored in subspace identification meth...
-
作者：Davydov, Alexander; Proskurnikov, Anton V.; Bullo, Francesco
作者单位：University of California System; University of California Santa Barbara; University of California System; University of California Santa Barbara; Polytechnic University of Turin
摘要：Critical questions in dynamical neuroscience and machine learning are related to the study of continuous-time neural networks and their stability, robustness, and computational efficiency. These properties can be simultaneously established via a contraction analysis. This article develops a comprehensive non-Euclidean contraction theory for continuous-time neural networks. Specifically, we provide novel sufficient conditions for the contractivity of general classes of continuous-time neural ne...
-
作者：Li, Jun; Lefebvre, Dimitri; Hadjicostis, Christoforos N.; Li, Zhiwu
作者单位：Xidian University; Universite Le Havre Normandie; University of Cyprus; Macau University of Science & Technology
摘要：This article proposes and verifies two types of state-based timed opacity notions for constant-time labeled automata (a class of timed models with partially observable transitions), called [T-l,T-u]-opacity and [T-l,+infinity)-opacity . A system is said to be [T-l,T-u]-opaque (respectively, [T-l,+infinity)-opaque ) if no timed observation can lead to the exposure of specified states (called secret states ) within a finite time window (respectively, an infinite time window) starting at the time...
-
作者：Huang, Kun; Zhou, Linli; Pu, Shi
作者单位：The Chinese University of Hong Kong, Shenzhen
摘要：This article proposes two distributed random reshuffling (RR) methods, namely gradient tracking with RR (GT-RR) and exact diffusion with RR (ED-RR), to solve the distributed optimization problem over a connected network, where a set of agents aim to minimize the average of their local cost functions. Both algorithms invoke RR update for each agent, inherit favorable characteristics of RR for minimizing smooth nonconvex objective functions, and improve the performance of previous distributed RR...
-
作者：Krupa, Pablo; Limon, Daniel; Bemporad, Alberto; Alamo, Teodoro
作者单位：IMT School for Advanced Studies Lucca; University of Sevilla
摘要：Harmonic model predictive control (HMPC) is a recent model predictive control (MPC) formulation for tracking piece-wise constant references that includes a parameterized artificial harmonic reference as a decision variable, resulting in an increased performance and domain of attraction with respect to other MPC formulations. This article presents an extension of the HMPC formulation to track periodic harmonic/sinusoidal references and discusses its use for tracking arbitrary trajectories. The ...
-
作者：Ma, Yong-Sheng; Che, Wei-Wei; Wu, Zheng-Guang
作者单位：Northeastern University - China; Zhejiang University
摘要：This article studies the consensus problem in multiagent systems under the challenge of an unknown system model and limited communication resources. A novel model-free adaptive learning algorithm is developed to learn the controller from system data. A model-based event-triggered fully distributed control (ET-FDC) algorithm is proposed to achieve consensus while saving the limited communication resources. Furthermore, a data-driven systematic learning methodology for the ET-FDC algorithm is in...
-
作者：Liu, Yu; Cao, Lin; Shu, Shaolong; Lin, Feng
作者单位：Tongji University; Wayne State University; Shanghai Maritime University
摘要：Recognizing complex events revealed by raw data is an increasingly crucial task that serves as one of the foundations for system monitoring and decision making. Our goal is to accurately recognize the occurred complex events, that is, uniquely determine the occurred complex event sequence from the raw data. We abstract the outputs of data sources as a set of atomic events, and then, use an automaton to describe all atomic event sequences that can be generated by the given system. We represent ...
-
作者：Tanwani, Aneel; Shim, Hyungbo; Teel, Andrew R.
作者单位：Universite de Toulouse; Centre National de la Recherche Scientifique (CNRS); Seoul National University (SNU); University of California System; University of California Santa Barbara
摘要：For a class of hybrid systems, where jumps occur frequently, we analyze the stability of system trajectories in view of singularly perturbed dynamics. The specific model we consider comprises an interconnection of two hybrid subsystems, a timer which triggers the jumps, and some discrete variables to determine the index of the jump maps. The flow equations of these variables are singularly perturbed differential equations and, in particular, a smaller value of the singular perturbation paramet...
-
作者：Mallick, Samuel; Dabiri, Azita; De Schutter, Bart
作者单位：Delft University of Technology
摘要：In this article, we present a novel approach for distributed model predictive control (MPC) for piecewise affine (PWA) systems. Existing approaches rely on solving mixed-integer optimization problems, requiring significant computation power or time. We propose a distributed MPC scheme that requires solving only convex optimization problems. The key contribution is a novel method, based on the alternating direction method of multipliers, for solving the nonconvex optimal control problem that ar...
