IEEE Transactions on Automatic Control

最新文章

• Adaptive Finite-Time Stabilization of Stochastic Nonlinear Systems Subject to Full-State Constraints and Input Saturation AI翻译
  作者：Min, Huifang; Xu, Shengyuan; Zhang, Zhengqiang
  作者单位：Nanjing University of Science & Technology
  摘要：In this article, the adaptive finite-time tracking control is studied for state constrained stochastic nonlinear systems with parametric uncertainties and input saturation. To this end, a definition of semiglobally finite-time stability in probability (SGFSP) is presented and a related stochastic Lyapunov theorem is established and proved. To alleviate the serious uncertainties and state constraints, the adaptive backstepping control and barrier Lyapunov function are combined in a unified fram...
• Strong Structural Controllability of Networks under Time-Invariant and Time-Varying Topological Perturbations AI翻译
  作者：Mousavi, Shima Sadat; Haeri, Mohammad; Mesbahi, Mehran
  作者单位：Sharif University of Technology; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Washington; University of Washington Seattle
  摘要：This article investigates the robustness of strong structural controllability for linear time-invariant and linear time-varying directed networks with respect to structural perturbations, including edge deletions and additions. In this direction, we introduce a new construct referred to as a perfect graph associated with a network with a given set of control nodes. The tight upper bounds on the number of edges that can be added to, or removed from a network, while ensuring strong structural co...
• Global Stabilization of Discrete-Time Linear Systems Subject to Input Saturation and Time Delay AI翻译
  作者：Yang, Xuefei; Zhou, Bin; Mazenc, Frederic; Lam, James
  作者单位：Harbin Institute of Technology; University of Hong Kong; Harbin Institute of Technology; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Universite Paris Saclay
  摘要：This article studies the problem of global stabilization of discrete-time linear systems subject to input saturation and time delay. The considered time-delay systems are first transformed into delay-free systems based on prediction technique. Then, by utilizing saturation functions technique, the corresponding global stabilizing controllers are proposed for two special discrete-time linear systems-a chain of integrators and oscillators, and explicit conditions guaranteeing stability are also ...
• Stubborn and Dead-Zone Redesign for Nonlinear Observers and Filters AI翻译
  作者：Astolfi, Daniele; Alessandri, Angelo; Zaccarian, Luca
  作者单位：Universite Claude Bernard Lyon 1; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Engineering & Systems Sciences (INSIS); University of Genoa; Universite de Toulouse; Centre National de la Recherche Scientifique (CNRS); University of Trento
  摘要：We propose a redesign paradigm for stable estimators by introducing a saturation or a dead-zone nonlinearity with adaptive thresholds on the output injection term. Such nonlinearities allow improving the sensitivity to measurement noise in different scenarios (impulsive disturbances or persistent noise such as sensor bias), while preserving the asymptotic convergence properties of the original observer. These redesigns apply to a broad class of state estimators, including linear observers, obs...
• Adaptive Susceptibility and Heterogeneity in Contagion Models on Networks AI翻译
  作者：Pagliara, Renato; Leonard, Naomi Ehrich
  作者单位：Princeton University
  摘要：Contagious processes, such as spread of infectious diseases, social behaviors, or computer viruses, affect biological, social, and technological systems. Epidemic models for large populations and finite populations on networks have been used to understand and control both transient and steady-state behaviors. Typically it is assumed that after recovery from an infection, every agent will either return to its original susceptible state or acquire full immunity to reinfection. We study the netwo...
• Online Convex Optimization With Binary Constraints AI翻译
  作者：Lesage-Landry, Antoine; Taylor, Joshua A.; Callaway, Duncan S.
  作者单位：Universite de Montreal; Polytechnique Montreal; University of Toronto; University of California System; University of California Berkeley
  摘要：We consider online optimization with binary decision variables and convex loss functions. We design a new algorithm, binary online gradient descent (bOGD) and bound its expected dynamic regret. We provide a regret bound that holds for any time horizon and a specialized bound for finite time horizons. First, we present the regret as the sum of the relaxed, continuous round optimum tracking error, and the rounding error of our update in which the former asymptomatically decreases with time under...
• Adaptive Internal Model Theory of the Oculomotor System and the Cerebellum AI翻译
  作者：Broucke, Mireille E.
  作者单位：University of Toronto
  摘要：In this article, we present a computational model of the oculomotor system and the cerebellum. In contrast with prevailing theories of cerebellar function, we propose the cerebellum embodies adaptive internal models of all persistent, exogenous, deterministic signals acting on the body and observable through the error signals it receives. Our model is validated by simulations, recovering results from a number of oculomotor experiments.
• New Results on the Local Linear Convergence of ADMM: A Joint Approach AI翻译
  作者：Erseghe, Tomaso
  作者单位：University of Padua
  摘要：Thanks to its versatility, its simplicity, and its fast convergence, alternating direction method of multipliers (ADMM) is among the most widely used approaches for solving a convex problem in distributed form. However, making it running efficiently is an art that requires a fine tuning of system parameters according to the specific application scenario, and which ultimately calls for a thorough understanding of the hidden mechanisms that control the convergence behavior. In this framework, we...
• Relevance of Network Characteristics to Controllability Degree AI翻译
  作者：Hou, Baoyu
  作者单位：Qingdao University
  摘要：This article studies the controllability degree via analyzing the condition number of Gramian matrix. Our aim is to explore how the network characteristics affect the controllability degree. Specifically, we prove that a large time parameter would worsen the controllability degree. The time parameter could be understood as the network coupling strength. For directed path networks, we derive how edge weights and time parameter jointly determine the best controllability degree. Furthermore, we p...
• Stabilization of a Class of Underactuated Nonlinear Systems via Underactuated Back-Stepping AI翻译
  作者：Jiangand, Jingjing; Astolfi, Alessandro
  作者单位：Loughborough University; Imperial College London; University of Rome Tor Vergata
  摘要：The stabilization problem for a class of nonlinear systems is solved via a novel method inspired by back-stepping. The method, that we call underactuated back-stepping, is introduced by solving the stabilization problem for an inertia wheel pendulum and it is then developed for a class of underactuated mechanical systems. The properties of the resulting closed-loop systems are studied in detail and case studies are given to show the effectiveness of the proposed method.