IEEE Transactions on Automatic Control

最新文章

• Radius Analysis-Based Control for Switched Positive Systems AI翻译
  作者：Fei, Zhongyang; Chen, Weizhong; Yang, Hao; Sun, Xi-Ming
  作者单位：Dalian University of Technology; Dalian University of Technology; Xi'an Polytechnic University; Harbin Institute of Technology; Nanjing University of Aeronautics & Astronautics
  摘要：This article investigates the dynamic output feedback control for switched positive systems with mode-dependent persistent dwell time (MPDT) switching and unmeasurable disturbances. Unlike the previous results, in this article, we propose a radius analysis-based control method. By constructing the time-varying state zonotope and guaranteeing its dual convergence, dynamic output feedback controllers are designed, and then the stability of the closed-loop system and convergent state boundaries a...
• Convergence Analysis of Distributed Generalized Nash Equilibria Seeking Algorithm With Asynchrony and Delays AI翻译
  作者：Li, Huaqing; Ran, Liang; Zheng, Lifeng; Li, Zhe; Hu, Jinhui; Li, Jun; Huang, Tingwen
  作者单位：Southwest University - China; Central South University; City University of Hong Kong; Shenzhen University of Advanced Technology
  摘要：This article considers a class of noncooperative games in which the feasible decision sets of all players are coupled together by a coupled inequality constraint. Adopting the variational inequality formulation of the game, we first introduce a new local edge-based equilibrium condition with full information. Considering challenges when communication delays occur, we then devise an asynchronous distributed algorithm to seek a generalized Nash equilibrium. This asynchronous scheme arbitrarily a...
• Maximization of Gain/Phase Margins by PID Control AI翻译
  作者：Mao, Qi; Xu, Yong; Chen, Jianqi; Chen, Jie; Georgiou, Tryphon T.
  作者单位：Nanjing Normal University; City University of Hong Kong; Guangdong University of Technology; Nanjing University; City University of Hong Kong; University of California System; University of California Irvine
  摘要：Proportional-integral-derivative (PID) control has been the workhorse of control technology for about a century. Yet to this day, designing and tuning PID controllers relies mostly on either tabulated rules (Ziegler-Nichols) or on classical graphical techniques (Bode). Our goal in this article is to take a fresh look on PID control in the context of optimizing stability margins for low-order (first- and second-order) linear time-invariant systems. Specifically, we seek to derive explicit expre...
• Stochastic Halfspace Approximation Method for Convex Optimization With Nonsmooth Functional Constraints AI翻译
  作者：Singh, Nitesh Kumar; Necoara, Ion
  作者单位：National University of Science & Technology POLITEHNICA Bucharest
  摘要：In this work, we consider convex optimization problems with smooth objective function and nonsmooth functional constraints. We propose a new stochastic gradient algorithm, called the stochastic halfspace approximation method (SHAM), to solve this problem, where at each iteration we first take a gradient step for the objective function and then we perform a projection step onto one halfspace approximation of a randomly chosen constraint. We propose various strategies to create this stochastic h...
• An Exact Robust High-Order Differentiator With Hyperexponential Convergence AI翻译
  作者：Wang, Jian; Zimenko, Konstantin; Polyakov, Andrey; Efimov, Denis
  作者单位：Hangzhou Dianzi University; ITMO University; Universite de Lille; Centre National de la Recherche Scientifique (CNRS); Inria; Centrale Lille; CNRS - Institute for Information Sciences & Technologies (INS2I)
  摘要：A linear time-varying state observer is presented for a chain of integrators having bounded disturbances in the last equation. It is demonstrated that in the noise-free setting, for the continuous-time realization, the estimation error converges to zero with a hyperexponential rate (faster than any exponential) uniformly in the disturbance. An implicit discretization scheme of the observer is proposed, which in the discrete time preserves all the main properties of the continuous-time counterp...
• Distributed Online Optimization Over Partially Free-In and Free-Out Networks AI翻译
  作者：Liu, Yuxuan; Ye, Maojiao; Ding, Lei; Han, Qing-Long
  作者单位：Nanjing University of Science & Technology; Nanjing University of Posts & Telecommunications; Nanjing University of Posts & Telecommunications; Swinburne University of Technology
  摘要：The article studies a distributed online optimization problem over partially free-in and free-out networks, in which a set of unfixed agents cooperate to minimize the sum of a group of time-varying functions over a time horizon. To be specific, the agents are divided into static agents and dynamic agents. The static agents are those who remain in the network during the whole time horizon, while the dynamic agents are allowed to join and leave the network freely. Based on the dual averaging tec...
• Distributed Source Seeking With Global Field Exploration Using Adaptive Model Predictive Control AI翻译
  作者：Gao, Xinzhou; Shu, Zhan; Liu, Jason J. R.
  作者单位：University of Alberta; University of Macau
  摘要：In this article, we address the distributed source seeking (DSS) problem using model predictive control (MPC). In our approach, the signal field is modeled as a weighted combination of convex functions, and we employ a distributed set-membership estimation to gain a global exploration of the field. This estimated field is then treated as the output of the resulting connected system, enabling the DSS problem to be formulated as an output tracking problem that can be solved using a distributed a...
• Operator Splitting for Convex Constrained Markov Decision Processes AI翻译
  作者：Grontas, Panagiotis D.; Tsiamis, Anastasios; Lygeros, John
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：We consider finite Markov decision processes (MDPs) with convex constraints and known dynamics. In principle, this problem is amenable to off-the-shelf convex optimization solvers, but typically this approach suffers from poor scalability. In this work, we develop a first-order algorithm, based on the Douglas-Rachford splitting, that allows us to decompose the dynamics and constraints. Thanks to this decoupling, we can incorporate a wide variety of convex constraints. Our scheme consists of si...
• Ring-Patterned Control for Hyperexponential Consensus of Multiagent Systems With Increasing Scales AI翻译
  作者：Luan, Xiaoli; Qing, Nengneng; Liu, Fei
  作者单位：Jiangnan University
  摘要：The ring-patterned control is studied for a class of multiagent systems (MASs) under directed ring interactions with time-varying weights, further accommodating increasing scales and achieving hyperexponential consensus with the dynamic weighted average steady state. For both MAS of scalar-agent and multivariable-agent, ring-patterned control is proposed by encoding the corresponding matrices into respective time-varying polynomials of the time-invariant ring-patterned base matrix. With these ...
• Control Occupation Kernel Regression for Nonlinear Control-Affine Systems AI翻译
  作者：Abudia, Moad; Channagiri, Tejasvi; Rosenfeld, Joel A.; Kamalapurkar, Rushikesh
  作者单位：Texas Tech University System; Oklahoma State University System; Texas Tech University; Oklahoma State University - Stillwater; Harvard University; Harvard T.H. Chan School of Public Health; State University System of Florida; University of South Florida; State University System of Florida; University of Florida
  摘要：This manuscript presents an algorithm for obtaining an approximation of a nonlinear high order control affine dynamical system. Controlled trajectories of the system are leveraged as the central unit of information via embedding them in vector-valued reproducing kernel Hilbert space (vvRKHS). The trajectories are embedded as the so-called higher order control occupation kernels, which represent an operator on the vvRKHS corresponding to iterated integration after multiplication by a given cont...