IEEE Transactions on Automatic Control

最新文章

• Opacity Enforcement in Discrete Event Systems Using Extended Insertion Functions Under Inserted Language Constraints AI翻译
  作者：Li, Xiaoyan; Hadjicostis, Christoforos N.; Li, Zhiwu
  作者单位：University of Cyprus; Xidian University; Macau University of Science & Technology
  摘要：Opacity is a confidentiality property capturing the fact that certain secret behavior of a system cannot be revealed under any system evolution. Current-state opacity can be enforced by using an extended insertion mechanism, which is capable of inserting fake symbols before and after an actual output, in real time as the system evolves. This article studies the enforcement of current-state opacity for systems modeled by finite state automata using an extended insertion strategy under constrain...
• Finite- and Fixed-Time Nonovershooting Stabilizers and Safety Filters by Homogeneous Feedback AI翻译
  作者：Polyakov, Andrey; Krstic, Miroslav
  作者单位：Inria; University of California System; University of California San Diego
  摘要：Nonovershooting stabilization is a form of safe control where the setpoint chosen by the user is at the boundary of the safe set. In this article, we develop homogeneous feedback laws for fixed-time nonovershooting stabilization for nonlinear systems that are input-output linearizable with a full relative degree, i.e., for systems that are diffeomorphically equivalent to the chain of integrators. These homogeneous feedback laws can also assume the secondary role of fixed-time safety filters, w...
• Stability and Performance of Asynchronous Sampled-Data Interconnected Systems: An Integral Approach AI翻译
  作者：Xiao, Feng; Wang, Long; Chen, Tongwen
  作者单位：North China Electric Power University; North China Electric Power University; Peking University; University of Alberta
  摘要：In this article, we focus on the stability of asynchronous sampled-data interconnected systems and the evaluation of how asynchronous sampling and time delays degrade the L-2 gains from exogenous inputs to controlled outputs. To judge the stability and evaluate the performance of systems, an integral approach is proposed and it combines a revised form of input-to-state stability Lyapunov conditions with an integral description of bounded measurement errors. Practical procedures for the applica...
• Competitive Control AI翻译
  作者：Goel, Gautam; Hassibi, Babak
  作者单位：California Institute of Technology; California Institute of Technology
  摘要：We consider control from the perspective of competitive analysis. Unlike much prior work on learning-based control, which focuses on minimizing regret against the best controller selected in hindsight from some specific class, we focus on designing an online controller which competes against a clairvoyant offline optimal controller. A natural performance metric in this setting is competitive ratio, which is the ratio between the cost incurred by the online controller and the cost incurred by t...
• Optimal Kalman Filter With Information-Weighted Consensus AI翻译
  作者：Khan, Shiraz; Deshmukh, Raj; Hwang, Inseok
  作者单位：Purdue University System; Purdue University
  摘要：The use of wireless sensor networks for distributed state estimation has been a popular research topic in the signal processing community. However, there is a distinct lack of emphasis on formal derivation and optimality of distributed state estimation algorithms in the literature. Furthermore, many existing algorithms utilize unweighted average consensus filtering, which has been shown to lead to poor estimation performance in the presence of sensor agents that cannot make measurements due to...
• Input Design for Regularized System Identification: Stationary Conditions and Sphere Preserving Algorithm AI翻译
  作者：Mu, Biqiang; Kong, He; Chen, Tianshi; Jiang, Bo; Wang, Lei; Wu, Junfeng
  作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Southern University of Science & Technology; The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data; The Chinese University of Hong Kong, Shenzhen; Nanjing Normal University; Zhejiang University
  摘要：This article studies input design of kernel-based regularization methods for linear dynamical systems, which has been formulated as a nonconvex optimization problem with the criterion being a scalar measure of the posterior covariance of the Bayesian estimate, subject to a spherical constraint on the input. The nonconvex nature of such input design problems poses significant challenges in deriving optimality conditions and efficient numerical algorithms. In this work, we first derive a suffici...
• Aizerman Conjectures for a Class of Multivariate Positive Systems AI翻译
  作者：Drummond, Ross; Guiver, Chris; Turner, Matthew C.
  作者单位：University of Sheffield; Edinburgh Napier University; University of Southampton
  摘要：The Aizerman conjecture predicts stability for a class of nonlinear control systems on the basis of linear system stability analysis. The conjecture is known to be false in general. Here, a number of Aizerman conjectures are shown to be true for a class of internally positive multivariate systems, under a natural generalization of the classical sector condition and, moreover, guarantee positivity in closed loop. These results are stronger and/or more general than existing results. This article...
• Vector Control Lyapunov Function Based Stabilization of Nonlinear Systems in Predefined Time AI翻译
  作者：Singh, Bhawana; Pal, Anil Kumar; Kamal, Shyam; Dinh, Thach Ngoc; Mazenc, Frederic
  作者单位：Banaras Hindu University (BHU); Indian Institute of Technology System (IIT System); Indian Institute of Technology BHU Varanasi (IIT BHU Varanasi); heSam Universite; Conservatoire National Arts & Metiers (CNAM); Universite Paris Saclay; Inria; Centre National de la Recherche Scientifique (CNRS)
  摘要：Predefined-time stability is the stability of dynamical systems whose solutions approach the equilibrium point within a predecided time duration. In this technical note, we develop general results of predefined-time stability of nonlinear systems using vector Lyapunov functions. A vector comparison system, which is predefined-time convergent, is constructed, and after that the stability of the original dynamical system is proved using differential inequalities and comparison principles. Moreov...
• Data-Driven Minimum Entropy Control for Stochastic Nonlinear Systems Using the Cumulant-Generating Function AI翻译
  作者：Zhang, Qichun; Zhang, Jianhua; Wang, Hong
  作者单位：University of Bradford; North China Electric Power University; United States Department of Energy (DOE); Oak Ridge National Laboratory
  摘要：This article presents a novel minimum entropy control algorithm for a class of stochastic nonlinear systems subjected to non-Gaussian noises. The entropy control can be considered as an optimization problem for the system randomness attenuation, but the mean value has to be considered separately. To overcome this disadvantage, a new representation of the system stochastic properties was given using the cumulant-generating function based on the moment-generating function, in which the mean valu...
• A New Bundle Picture for the Drone AI翻译
  作者：Chang, Dong Eui
  作者单位：Korea Advanced Institute of Science & Technology (KAIST)
  摘要：A new S-1 principal bundle over a vector space with the origin removed is constructed for the drone with the yaw dynamics evolving on the S-1 fiber, and the remaining part of drone dynamics on the base space. Two local trivializations are constructed to cover the whole bundle such that on each trivialization the drone dynamics is transformed via dynamic feedback to a linear controllable system with the yaw dynamics decoupled from the rest of the drone dynamics to make easy the design of drone ...