2023

最新文章

• Using Memoryless Output Feedback to Semiglobally Stabilize a Class of SISO Nonlinear Systems With Input Delay AI翻译
  作者：Lin, Wei; Sun, Jiwei
  作者单位：University System of Ohio; Case Western Reserve University
  摘要：Using the semiglobal control idea from the recent work (Wang and Lin, 2022), we present a different semiglobal method without invoking the dynamic extension technique to prove that in the single-input-single-output (SISO) case, certain nonaffine systems with input delay are semiglobally asymptotically stabilizable (SGAS) via n-dimensional memoryless output feedback. A dynamic output compensator is constructed and composed of an n-dimensional nonlinear observer and an observer-based controller,...
• Closed-Loop Frequency Analysis of Reset Control Systems AI翻译
  作者：Dastjerdi, Ali Ahmadi; Astolfi, Alessandro; Saikumar, Niranjan; Karbasizadeh, Nima; Valerio, Duarte; HosseinNia, S. Hassan
  作者单位：Delft University of Technology; Imperial College London; University of Rome Tor Vergata; Universidade de Lisboa
  摘要：This article introduces a closed-loop frequency analysis tool for reset control systems. To begin with sufficient conditions for the existence of the steady-state response for a closed-loop system with a reset element and driven by periodic references are provided. It is then shown that, under specific conditions, such a steady-state response for periodic inputs is periodic with the same period as the input. Furthermore, a framework to obtain the steady-state response and to define a notion of...
• Fixed-Time Consensus Tracking for Multi-Agent Systems With a Nonholomonic Dynamics AI翻译
  作者：Mi, Wen; Luo, Li; Zhong, Shouming
  作者单位：University of Electronic Science & Technology of China
  摘要：In this article, we investigate the control strategy of fixed-time leader-following consensus for chained-form systems with matched disturbances. A new decentralized observer is designed under a directed topology to estimate the leader state in a fixed time for each follower. Then, a novel control protocol is developed to track the estimated leader state in a prescribed finite time. Different from existing results, the bound we derive for the setting time does not depend on the initial conditi...
• Memory Augmented Neural Network Adaptive Controllers: Performance and Stability AI翻译
  作者：Muthirayan, Deepan; Khargonekar, Pramod P.
  作者单位：University of California System; University of California Irvine
  摘要：In this article, we propose a novel control architecture, inspired from neuroscience, for adaptive control of continuous-time systems. The proposed architecture, in the setting of standard neural network (NN)-based adaptive control, augments an external working memory to the NN. The controller, through a write operation, writes the hidden layer feature vector of the NN to the external working memory and can also update this information with the observed error in the output. Through a read oper...
• Incentive Mechanism Design for Unicast Service Provisioning With Network Aggregative Game AI翻译
  作者：Eslami, Ehsan; Kebriaei, Hamed; Atrianfar, Hajar; Farhadi, Farzaneh
  作者单位：University of Tehran; University of Tehran; Institute for Research in Fundamental Sciences IPM; Amirkabir University of Technology; Imperial College London
  摘要：We investigate the problem of distributed resource allocation in unicast communication networks with strategic/selfish users. First, through mechanism design, the centralized problem is converted to a decentralized problem that induces a network aggregative game among users. At every Nash equilibrium, this mechanism strongly implements the solution of the resource allocation problem, and it is budget balance as well. Then, we establish a relationship between Nash equilibria of the induced game...
• Personalized Incentives as Feedback Design in Generalized Nash Equilibrium Problems AI翻译
  作者：Fabiani, Filippo; Simonetto, Andrea; Goulart, Paul J.
  作者单位：IMT School for Advanced Studies Lucca; Institut Polytechnique de Paris; ENSTA Paris; University of Oxford
  摘要：We investigate both stationary and time-varying, nonmonotone-generalized Nash equilibrium problems that exhibit symmetric interactions among the agents, which are known to be potential. As may happen in practical cases, however, we envision a scenario in which the formal expression of the underlying potential function is not available, and we design a semidecentralized Nash-equilibrium-seeking algorithm. In the proposed two-layer scheme, a coordinator iteratively integrates possibly noisy and ...
• Event-Triggered Tracking Control for a Class of Nonlinear Systems: A Dynamic Gain Approach AI翻译
  作者：Li, Hanfeng; Zhang, Xianfu; Xie, Lihua; Liu, Shuai; Liu, Qingrong
  作者单位：Shandong University; Nanyang Technological University; Shandong University of Finance & Economics
  摘要：This note presents a dynamic gain approach to the event-triggered tracking control for a class of strict-feedback nonlinear systems. A novel shifting function is designed to make the initial tracking error arbitrarily bounded, which significantly relaxes the requirement on the initial tracking error. To achieve the objective that the tracking error does not exceed the constraint after the prespecified finite time, a barrier Lyapunov function and a new reduced-order observer are constructed by ...
• Pisot-Number-Based Discrete-Time Controllers With Integer State Matrices to Ensure Monotonic Closed-Loop Step Responses AI翻译
  作者：Tavazoei, Mohammad Saleh
  作者单位：Sharif University of Technology
  摘要：Motivated by the applicability of homomorphically encrypted discrete-time controllers possessing integer state matrices to work in an infinite time horizon, this article deals with the design of such controllers to guarantee that the step response of the control system is monotonic. On the basis of locating the poles of designed controllers at positive Pisot numbers and some of their algebraic conjugates and benefiting from the idea of using nonminimal state-space models, an analytical approac...
• Distributed Exponential State Estimation for Discrete-Time Linear Systems Over Jointly Connected Switching Networks AI翻译
  作者：Liu, Tao; Huang, Jie
  作者单位：Chinese University of Hong Kong; CUHK Shenzhen Research Institute; Chinese University of Hong Kong; Southern University of Science & Technology
  摘要：The existing results on the distributed state estimation problem for discrete-time linear systems were obtained over connected static networks, or every-time connected switching networks by a two-time-scale design. This article further studies the same problem over jointly connected switching networks that can be disconnected at every time instant by a single-time-scale distributed design. Since the existing distributed designs critically rely on the connectedness assumption on the networks an...
• A Simple and Fast Coordinate-Descent Augmented-Lagrangian Solver for Model Predictive Control AI翻译
  作者：Wu, Liang; Bemporad, Alberto
  作者单位：IMT School for Advanced Studies Lucca
  摘要：This article proposes a novel coordinate-descent augmented-Lagrangian (CDAL) solver for linear, possibly parameter-varying, model predictive control (MPC) problems. At each iteration, an augmented Lagrangian (AL) subproblem is solved by coordinate descent (CD), exploiting the structure of the MPC problem. The CDAL solver enjoys three main properties: 1) it is construction-free, in that it avoids explicitly constructing the quadratic programming problem associated with MPC; 2) is matrix-free, a...