10期

最新文章

• Optimal Parameter Selection for ADMM: Quadratically Constrained Quadratic Program AI翻译
  作者：Nguyen, Hoai-Nam
  作者单位：IMT - Institut Mines-Telecom; Telecom SudParis; Institut Polytechnique de Paris; Telecom SudParis
  摘要：We propose two new algorithms for solving quadratically constrained quadratic programming (QCQP) problems arising from real-time optimization based control such as model predictive control or interpolating control. The proposed algorithms are based on the Alternating Direction Method of Multipliers (ADMM). ADMM is a powerful tool for solving a wide class of constrained optimization problems. There are two main challenges when applying ADMM: Its performance depends greatly on the efficiency of ...
• Analysis and Stabilization of Linear Cone-Preserving Systems With Bounded Inputs AI翻译
  作者：Qiu, Hongling; Shen, Jun
  作者单位：Nanjing University of Aeronautics & Astronautics
  摘要：This article focuses on estimating the domain of attraction for linear cone-preserving systems subject to saturated linear feedback. The considered system model belongs to a category of control systems whose state trajectories are constrained within proper cones. In terms of cone max norms induced by proper cones, an extended max-separable Lyapunov function is constructed. Furthermore, sufficient criteria are given to show that the level set of this Lyapunov function is contractively invariant...
• Automatic Implementation of Neural Networks Through Reaction Networks-Part II: Error Analysis AI翻译
  作者：Fan, Yuzhen; Zhang, Xiaoyu; Gao, Chuanhou; Dochain, Denis
  作者单位：Zhejiang University; Southeast University - China; Universite Catholique Louvain
  摘要：Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged in reverse to advance synthetic biology progress. A challenging exploration is to implement neural network functionalities through biochemical reaction networks (BCRNs), a language that is inherently compatible with in vivo, with difficulties specifically in constructing an appropriate BCRN that respects com...
• Distributed Constrained Optimal Coordination of Multiple Heterogeneous Systems Over a Directed Communication Network AI翻译
  作者：Xian, Chengxin; Liu, Yongfang; Zhao, Yu; Wen, Guanghui; Chen, Guanrong
  作者单位：City University of Hong Kong; Northwestern Polytechnical University; Southeast University - China
  摘要：This article investigates the distributed optimal coordination problem and distributed constrained optimal coordination problem for multiple heterogeneous linear systems over a directed communication network. The objective is to develop distributed optimization algorithms for a set of heterogeneous linear agents over a directed communication network, which will drive the decision variables of the agents to the optimal state with optimal system performance. First, a new distributed optimal coor...
• Switching-Based Deployment of Multiagent Systems Using Kuramoto-Sivashinsky Model AI翻译
  作者：Zhang, Jing; Kang, Wen; Wang, Jun-Min
  作者单位：Beijing Institute of Technology
  摘要：This article addresses the switching-based deployment of multiagent systems using the Kuramoto-Sivashinsky model. Based on the output measurements, a switching control law is proposed to select only one leader for data transmission. The leader-actuated closed-loop system is modeled by a nonlinear Kuramoto-Sivashinsky equation. Sufficient conditions are derived to guarantee the exponential stability of the resulting system via the time-delay approach and Halanay's inequality. Finally, simulatio...
• Automatic Nonlinear MPC Approximation With Closed-Loop Guarantees AI翻译
  作者：Tokmak, Abdullah; Fiedler, Christian; Zeilinger, Melanie N.; Trimpe, Sebastian; Kohler, Johannes
  作者单位：Aalto University; RWTH Aachen University; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：Safety guarantees are vital in many control applications, such as robotics. Model predictive control (MPC) provides a constructive framework for controlling safety-critical systems but is limited by its computational complexity. We address this problem by presenting a novel algorithm that automatically computes an explicit approximation to nonlinear MPC schemes while retaining closed-loop guarantees. Specifically, the problem can be reduced to a function approximation problem, which we tackle ...
• Completely Distributed State Estimation for Jointly Observable Uncertain Linear Systems AI翻译
  作者：Zhang, Lan; Guay, Martin; Wang, Shimin; Lu, Maobin
  作者单位：Beijing Institute of Technology; Beijing Institute of Technology; Queens University - Canada
  摘要：This article presents a novel design of a distributed adaptive observer for distributed state estimation of continuous-time uncertain linear time-invariant systems over directed networks. In contrast to existing works, the observed system is subject to uncertainties and possibly jointly observable. The distributed estimation of such systems allows practical applications in challenging problems subject to sparse arrangement of sensors and model uncertainties. A class of fully distributed nonlin...
• Design of Distributed Nonlinear Observers Without Using Global Inputs AI翻译
  作者：Cao, Ganghui; Wang, Jinzhi; Polycarpou, Marios M.
  作者单位：Peking University; University of Cyprus; University of Cyprus
  摘要：This article investigates the design of distributed observers for a class of nonlinear systems. The designed distributed observers reside in a network of sensor nodes. The communication links in the network enable each sensor node to estimate all states of the nonlinear system, even though each one can only collect a small portion of the system's outputs. However, all inputs of the system are still needed at each node to carry out a correct state estimation. For this problem, the article furth...
• Performance Analysis of Distributed Filtering Under Misspecified Noise Covariances AI翻译
  作者：Lyu, Xiaoxu; Wen, Guanghui; Shi, Ling; Duan, Peihu; Duan, Zhisheng
  作者单位：Hong Kong University of Science & Technology; Southeast University - China; Hong Kong University of Science & Technology; Beijing Institute of Technology; Peking University
  摘要：This article systematically investigates the performance of the consensus-based distributed filter under misspecified noise covariances. First, we introduce four quantities: the nominal filter parameter, the nominal estimation error covariance, the ideal filter parameter, and the ideal estimation error covariance. We derive the difference expressions among these quantities and establish the corresponding one-step relations. These relations reveal how performance deteriorates when noise covaria...
• Distributionally Robust Infinite-Horizon Control: From a Pool of Samples to the Design of Dependable Controllers AI翻译
  作者：Brouillon, Jean-Sebastien; Martin, Andrea; Lygeros, John; Dorfler, Florian; Ferrari-Trecate, Giancarlo
  作者单位：Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：We study control of constrained linear systems with only partial statistical information about the uncertainty affecting the system dynamics and the sensor measurements. Specifically, given a finite collection of disturbance realizations drawn from a generic distribution, we consider the problem of designing a stabilizing control policy with provable safety and performance guarantees despite the mismatch between the empirical and true distributions. We capture this discrepancy using Wasserstei...