IEEE Transactions on Automatic Control

最新文章

• Cost Evaluation of Approximate Controllability and Fault Recoverability for Switched Infinite-Dimensional Linear Systems AI翻译
  作者：Guan, Yacun; Yang, Hao; Jiang, Bin; Zhang, Youmin
  作者单位：Nanjing University of Aeronautics & Astronautics; Concordia University - Canada
  摘要：This article finds the minimum cost that is needed to achieve the approximate controllability of switched infinite-dimensional linear systems (IDLSs) by a newly defined Gramian operator. Such a new cost evaluation method helps to establish a fault recoverability condition, which reveals the ability of faulty switched IDLSs to maintain the approximate controllability under given energetic constraints. An example of the swarming system is taken to illustrate the theoretical results.
• Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology AI翻译
  作者：Wu, Bo; Carr, Steven; Bharadwaj, Suda; Xu, Zhe; Topcu, Ufuk
  作者单位：University of Texas System; University of Texas Austin; University of Texas System; University of Texas Austin; Arizona State University; Arizona State University-Tempe
  摘要：In this article, we study the problem of distributed hypothesis testing over a network of mobile agents with limited communication and sensing ranges to infer the true hypothesis collaboratively. In particular, we consider a scenario where there is an unknown subset of compromised agents that may deliberately share altered information to undermine the team objective. We propose two distributed algorithms where each agent maintains and updates two sets of beliefs (i.e., probability distribution...
• A Unifying Complexity Certification Framework for Active-Set Methods for Convex Quadratic Programming AI翻译
  作者：Arnstrom, Daniel; Axehill, Daniel
  作者单位：Linkoping University
  摘要：In model-predictive control (MPC), an optimization problem has to be solved at each time step, which in real-time applications makes it important to solve these efficiently and to have good upper bounds on worst-case solution time. Often for linear MPC problems, the optimization problem in question is a quadratic program (QP) that depends on parameters such as system states and reference signals. A popular class of methods for solving such QPs is active-set methods, where a sequence of linear ...
• Predictor-Feedback Prescribed-Time Stabilization of LTI Systems With Input Delay AI翻译
  作者：Espitia, Nicolas; Perruquetti, Wilfrid
  作者单位：Universite de Lille; Centre National de la Recherche Scientifique (CNRS); Centrale Lille
  摘要：This article first deals with the problem of prescribed-time stability of linear systems without delay. The analysis and design involve the Bell polynomials, the generalized Laguerre polynomials, the Lah numbers, and a suitable polynomial-based Vandermonde matrix. The results can be used to design a new controller-with time-varying gains-ensuring prescribed-time stabilization of controllable linear time-invariant (LTI) systems. The approach leads to similar results compared to Holloway et al. ...
• SMT-Based Reachability Analysis of High Dimensional Interval Max-Plus Linear Systems AI翻译
  作者：Mufid, Muhammad Syifa'ul; Adzkiya, Dieky; Abate, Alessandro
  作者单位：University of Oxford; Institut Teknologi Sepuluh Nopember
  摘要：This article discusses the reachability analysis (RA) of interval max-plus linear (IMPL) systems, a subclass of continuous-space, discrete-event systems defined over the max-plus algebra. Unlike standard max-plus linear systems, where the transition matrix is fixed at each discrete step, IMPL systems allow for uncertainty on state matrices. Given an initial and a target set, we develop algorithms to verify the existence of IMPL system trajectories that, starting from the initial set, eventuall...
• Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach AI翻译
  作者：Cheng, Changming; Bai, Er-Wei; Peng, Zhike
  作者单位：University of Iowa
  摘要：This article considers identification of sparse Volterra systems. A method based on the almost orthogonal matching pursuit (AOMP) is proposed. The AOMP algorithm allows one to estimate one nonzero coefficient at a time until all nonzero coefficients are found without losing the optimality and the sparsity, thus avoiding the curse of dimensionality often encountered in Volterra system identification.
• Optimal Sensor and Actuator Selection Using Balanced Model Reduction AI翻译
  作者：Manohar, Krithika; Kutz, J. Nathan; Brunton, Steven L.
  作者单位：University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle
  摘要：Optimal sensor and actuator selection is a central challenge in high-dimensional estimation and control. Nearly all subsequent control decisions are affected by these sensor and actuator locations. In this article, we exploit balanced model reduction and greedy optimization to efficiently determine sensor and actuator selections that optimize observability and controllability. In particular, we determine locations that optimize scalar measures of observability and controllability using greedy ...
• Network Aggregative Game in Unknown Dynamic Environment With Myopic Agents and Delay AI翻译
  作者：Shokri, Mohammad; Kebriaei, Hamed
  作者单位：University of Tehran; Institute for Research in Fundamental Sciences IPM
  摘要：In this article, the framework of network aggregative game (NAG) is extended by considering the interaction of players in a dynamic environment whose model is not known to them. The cost function of each player depends on its own strategy, the aggregate strategy of its neighbor players in the network, and also the state of the environment. The state of the environment evolves with a dynamics that is affected by the strategies of players as an input to the model. The players of NAG are modeled ...
• Decentralized Adaptive Sliding Mode Control of Large-Scale Semi-Markovian Jump Interconnected Systems With Dead-Zone Input AI翻译
  作者：Jiang, Baoping; Gao, Cunchen
  作者单位：Suzhou University of Science & Technology; Anhui Jianzhu University; Polytechnic University of Milan; Ocean University of China
  摘要：In this article, a decentralized adaptive sliding mode control scheme is proposed for stabilization of large-scale semi-Markovian jump interconnected systems, in which dead-zone linearity in the input and unknown interconnections among subsystems are tackled. First, by designing an integral sliding surface for each subsystem, local sliding mode dynamics are obtained in good property of dynamics. Second, sufficient conditions are established for checking the stochastic stability of the sliding ...
• Event/Self-Triggered Approximate Leader-Follower Consensus With Resilience to Byzantine Adversaries AI翻译
  作者：Zegers, Federico M.; Deptula, Patryk; Shea, John M.; Dixon, Warren E.
  作者单位：State University System of Florida; University of Florida; State University System of Florida; University of Florida
  摘要：Distributed event- and self-triggered controllers are developed for approximate leader-follower consensus with robustness to adversarial Byzantine agents for a class of homogeneous multi-agent systems (MASs). A strategy is developed for each agent to detect Byzantine agent behaviors within their neighbor set and then selectively disregard their transmission. Selectively removing Byzantine agents results in time-varying discontinuous changes to the network topology. Nonsmooth dynamics also resu...