IEEE Transactions on Automatic Control

最新文章

• Feedback Stability of Generalized Positive Real and Negative Imaginary Systems AI翻译
  作者：Khong, Sei Zhen
  摘要：This article derives necessary and sufficient conditions for robust stability of a feedback interconnection of linear time-invariant (LTI) systems that exhibit positive realness on finite nonzero frequencies (excluding pole locations) through a weighting function, i.e., a multiplier. This class of LTI systems importantly includes the well-studied negative imaginary systems without poles at the origin as a subset. Under the assumption that the instantaneous gain of the loop transfer function is...
• Event-Triggered Control Through the Eyes of a Hybrid Small-Gain Theorem AI翻译
  作者：Maass, Alejandro I.; Wang, Wei; Nesic, Dragan; Postoyan, Romain; Heemels, Maurice
  作者单位：University of Melbourne; Centre National de la Recherche Scientifique (CNRS); Universite de Lorraine; Eindhoven University of Technology
  摘要：A unifying design perspective is presented for emulation-based (dynamic) event-triggered state-feedback control of nonlinear systems. The main component of this new approach is to interpret event-triggered controlled systems as the interconnection of hybrid dynamical systems and to analyze the overall system using a hybrid small gain theorem. Based on this new perspective, we unify several event-triggered schemes that were previously proposed in the literature under one umbrella. Moreover, the...
• Hypertracking and Hyperrejection: Control of Signals Beyond the Nyquist Frequency AI翻译
  作者：Yamamoto, Kaoru; Yamamoto, Yutaka; Nagahara, Masaaki
  作者单位：Kyushu University; Kyoto University; University of Kitakyushu
  摘要：This article studies the problem of signal tracking and disturbance rejection for sampled-data control systems, where the pertinent signals can reside beyond the so-called Nyquist frequency. In light of the sampling theorem, it is generally understood that manipulating signals beyond the Nyquist frequency is either impossible or at least very difficult. On the other hand, such control objectives often arise in practice, and control of such signals is much desired. This article examines the bas...
• Adaptive Techniques for the Online Estimation of Spatial Fields With Mobile Sensors AI翻译
  作者：Demetriou, Michael A.
  作者单位：Worcester Polytechnic Institute
  摘要：The regression-based reconstruction of spatial fields by static sensors requires the number of measurements be at least equal to the number of unknown parameters in order to provide a unique solution. Improvements include the use of mobile sensor networks to arrive at higher accuracy estimates. An alternate approach utilizes adaptive techniques to update the parameter estimates online. Such adaptive techniques need persistence of excitation to ensure convergence of the parameter and function e...
• Robust Optimal Control for Discrete-Time LTI Systems Over Multiple Additive White Gaussian Noise Channels AI翻译
  作者：Feng, Yu; Sun, Hongda
  作者单位：Zhejiang University of Technology
  摘要：Unlike the traditional point-to-point control structure, control system design through network media introduces additional constraints due to limited capacities of the used communication channels. In this article, we address the optimal performance control problem for linear uncertain discrete-time systems over multiple additive white Gaussian noise channels, where mean power constraints are imposed on the actuator side. The desired controller is aimed to robustly stabilize the plant, to minim...
• Delay Robustness of Consensus Algorithms: Continuous-Time Theory AI翻译
  作者：Proskurnikov, Anton V.; Calafiore, Giuseppe Carlo
  作者单位：Polytechnic University of Turin
  摘要：Consensus among autonomous agents is a key problem in multiagent control. In this article, we consider averaging consensus policies over time-varying graphs in presence of unknown but bounded communication delays. It is known that consensus is established (no matter how large the delays are) if the graph is periodically, or uniformly quasi-strongly connected (UQSC). The UQSC condition is often believed to be the weakest sufficient condition under which consensus can be proved. We show that the...
• Fixed-Time Convergent Distributed Observer Design of Linear Systems: A Kernel-Based Approach AI翻译
  作者：Ge, Pudong; Li, Peng; Chen, Boli; Teng, Fei
  作者单位：Imperial College London; Harbin Institute of Technology; University of London; University College London
  摘要：The robust distributed state estimation for a class of continuous-time linear time-invariant systems is achieved by a novel kernel-based distributed observer, which, for the first time, ensures fixed-time convergence properties. The communication network between the agents is prescribed by a directed graph in which each node involves a fixed-time convergent estimator. The local observer estimates and broadcasts the observable states among neighbors so that the full-state vector can be recovere...
• Nonfragile-Observer-Based Integral Sliding Mode Control for a Class of Uncertain Switched Hyperbolic Systems AI翻译
  作者：Kao, Yonggui; Liu, Xiaonan; Song, Minghui; Zhao, Lin; Zhang, Qiang
  作者单位：Harbin Institute of Technology; Qingdao University; Shandong Jiaotong University
  摘要：This article concerns nonfragile-observer-based integral sliding mode control for a class of uncertain switched hyperbolic systems (USHSs). First, by means of variable substitutions, the original hyperbolic differential system is reduced into a first-order one. Then, a nonfragile observer and the state-estimate-based sliding mode control law are designed, respectively, such that the reachability of the sliding surface and the novel criteria on asymptotical stability of the sliding dynamic USHS...
• Efficient Sampling Policy for Selecting a Subset With the Best AI翻译
  作者：Zhang, Gongbo; Chen, Bin; Jia, Qing-Shan; Peng, Yijie
  作者单位：Peking University; National University of Defense Technology - China; Tsinghua University
  摘要：In this article, we study the problem of selecting a subset with the best of a finite number of alternatives under a fixed simulation budget. Our work aims to maximize the posterior probability of correctly selecting such a subset. We formulate the dynamic sampling decision as a stochastic control problem in a Bayesian setting. In an approximate dynamic programming paradigm, we propose a sequential sampling policy based on value function approximation. We analyze the asymptotic property of the...
• Fixed-Time Gradient Dynamics With Time-Varying Coefficients for Continuous-Time Optimization AI翻译
  作者：Nguyen, Lien T. T.; Yu, Xinghuo; Eberhard, Andrew; Li, Chaojie
  作者单位：Royal Melbourne Institute of Technology (RMIT); Royal Melbourne Institute of Technology (RMIT); University of New South Wales Sydney
  摘要：In this article, we propose fixed-time gradient dynamics with time-varying coefficients for continuous-time optimization. We first investigate the Lyapunov stability conditions that allow us to achieve fixed-time stability of the time-varying dynamical systems. We then use them to deal with continuous-time optimization problems. We show that under the proposed fixed-time gradient dynamics and by choosing time-varying coefficients, the searching trajectories converge to their optima in fixed-ti...