2025

最新文章

• A New Adaptive Designated-Time Stabilizing Strategy for Uncertain Time-Varying Nonlinear Systems AI翻译
  作者：Sun, Zong-Yao; Li, Jiao-Jiao; Wen, Changyun; Chen, Chih-Chiang
  作者单位：Qufu Normal University; Nanyang Technological University; National Cheng Kung University
  摘要：This article explores the adaptive designated-time stabilizing strategy for a class of uncertain time-varying nonlinear systems. The inspiration is driven by two challenging issues that remain unsolved in the field of prescribed-time stabilization: first, the singularity induced by infinity control magnitudes at the prescribed time instant, and second, the incapability of driving state behavior after the prescribed time. To tackle the challenges, we formulate a hybrid stabilizing controller by...
• An Algorithm Design Framework for Linearly Constrained Convex Optimization: Proximal and Contractive Perspectives AI翻译
  作者：Wu, Zhaolong; Zhao, Xiaowei
  作者单位：University of Warwick
  摘要：This article presents an algorithm design framework for general linearly constrained convex optimization problems. Our approach offers a flexible framework to analyze and design various methods, drawing from proximal and contractive viewpoints. This framework utilizes a predictor-corrector mechanism, in which the predictor's role is to generate a predicted solution through proximally contractive mapping, and the corrector's objective is to refine this predicted solution via an inertial update ...
• Inverse Noncooperative Games With Indistinguishable Observations AI翻译
  作者：Li, Yibei; Xie, Lihua
  作者单位：Chinese Academy of Sciences; Nanyang Technological University
  摘要：In this article, the inverse problem is studied for a class of nonzero-sum linear quadratic (LQ) games with indistinguishable observations. The goal is to reconstruct the unknown individual objectives from permuted observations of the Nash equilibrium trajectories, where the main challenge lies in the unknown and time-varying permutations of agent states. Taking advantage of the symmetry in the game structure, the identifiability of the underlying game model is established and the well-posedne...
• Output-Positive Adaptive Control of Hyperbolic PDE-ODE Cascades AI翻译
  作者：Wang, Ji; Krstic, Miroslav
  作者单位：Xiamen University; University of California System; University of California San Diego
  摘要：In this article, we propose a new adaptive control barrier function (aCBF) method to design the output-positive adaptive control law for a hyperbolic PDE-ODE cascade with parametric uncertainties. This method employs the recent adaptive control approach with batch least-squares identification (BaLSI, pronounced ballsy) that completes perfect parameter identification in finite time and offers a previously unforeseen advantage in safe control design with aCBF, which we elucidate in this article....
• Optimal Robust Exact First-Order Differentiators With Lipschitz-Continuous Output AI翻译
  作者：Aldana-Lopez, Rodrigo; Seeber, Richard; Haimovich, Hernan; Gomez-Gutierrez, David
  作者单位：Intel Corporation; Intel Mexico; Graz University of Technology; Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET); National University of Rosario
  摘要：The signal differentiation problem involves the development of algorithms that allow to recover a signal's derivatives from noisy measurements. This article develops a first-order differentiator with robustness to measurement noise, exactness in the absence of noise, optimal worst-case differentiation error, and Lipschitz-continuous output, where the output's Lipschitz constant is a tunable parameter. This combination of advantageous properties is not shared by any existing differentiator. A s...
• Optimized Active Disturbance Rejection Control for Switched Systems: A Triggered-Learning Approach AI翻译
  作者：Qi, Yiwen; Zhang, Simeng; Shi, Yang
  作者单位：Fuzhou University; Shenyang Aerospace University; University of Victoria
  摘要：This article studies active disturbance rejection control (ADRC) for uncertain switched systems under triggered learning. The novel triggered-learning ADRC framework optimizes the ADRC performance of switched systems through reinforcement learning (RL) and enables on-demand updates of neural networks with guidance from a predesigned trigger. The innovation of this article is mainly reflected in four aspects: First, the RL-based gain automatic update mechanism (i.e., the dual-gain optimization ...
• Data-Driven Learning and Control With Event-Triggered Measurements AI翻译
  作者：Feng, Shilun; Shi, Dawei; Chen, Tongwen; Shi, Ling
  作者单位：Beijing Institute of Technology; Beijing Institute of Technology; University of Alberta; Hong Kong University of Science & Technology
  摘要：Event-triggered control has attracted considerable attention for its effectiveness in resource-restricted applications. To make event-triggered control as an end-to-end solution, a key issue is how to effectively learn unknown system dynamics from event-triggered measurements and consequently, develop a learning-based event-triggered controller. Existing works learn system dynamics based on periodic time-triggered measurements, and it is yet to know how to learn a controller with performance g...
• Chattering Phenomena in Time-Optimal Control for High-Order Chain-of-Integrator Systems With Full State Constraints AI翻译
  作者：Wang, Yunan; Hu, Chuxiong; Li, Zeyang; Lin, Yujie; Lin, Shize; He, Suqin
  作者单位：Tsinghua University; Tsinghua University; Tsinghua University
  摘要：Time-optimal control for high-order chain-of-integrator systems with full state constraints remains an open and challenging problem within the discipline of optimal control. The behavior of optimal control in high-order problems lacks precise characterization. Even the existence of the chattering phenomenon, i.e., the control switches infinitely many times over a finite period, remains unknown. This article establishes a theoretical framework for chattering in the problem, providing novel find...
• An LMI-Based Tool for H∞ Robust Performance Margin Evaluation of Uncertain Linear Systems and Robustification of Controllers AI翻译
  作者：de Oliveira, Paulo J.; Oliveira, Ricardo C. L. F.; Peres, Pedro L. D.
  摘要：This article addresses the problem of robust performance analysis and synthesis for uncertain linear systems with state-space matrices containing parameters in bounded intervals. The novelty of the approach relies on treating the interval bounds as optimization variables, leading to two significant results. First, an analysis tool that evaluates the sensitivity of closed-loop performance criteria, such as the H-infinity norm, with respect to the bounds, is presented. The second contribution is...
• A Secure Resilient Homomorphic Encryption Scheme for Control Systems AI翻译
  作者：Fauser, Moritz; Zhang, Ping
  摘要：Recently, the so-called resilient homomorphic encryption (RHE) scheme has been proposed by Fauser and Zhang (2021). Different from the existing homomorphic encryption schemes, the RHE scheme is able to neutralize the effect of an attack injected into the ciphertexts. Thus, a control system can still operate even if an attack takes place. In this article, the RHE scheme is further developed so that it can not only neutralize additive attacks but also satisfy the security requirement of indistin...