IEEE Transactions on Automatic Control

最新文章

• Solving a Class of Mean-Field LQG Problems AI翻译
  作者：Li, Yun; Song, Qingshuo; Wu, Fuke; Yin, George
  作者单位：Huazhong University of Science & Technology; Worcester Polytechnic Institute; University of Connecticut
  摘要：In this article, we study a class of mean-field linear quadratic Gaussian problems. Under suitable conditions, explicit solutions of the distribution-dependent optimal control problems are obtained. Riccati systems are derived by directly solving the associated master equations. Some extensions on controls with partial observations are also considered.
• Boundary Feedback Control of 2x2 Quasilinear Hyperbolic Systems: Predictive Synthesis and Robustness Analysis AI翻译
  作者：Strecker, Timm; Aamo, Ole Morten; Cantoni, Michael
  作者单位：University of Melbourne; Norwegian University of Science & Technology (NTNU)
  摘要：We present a predictive feedback control method for a class of quasilinear hyperbolic systems with one boundary control input. Assuming exact model knowledge, convergence to the origin or tracking at the uncontrolled boundary is achieved in finite time. A robustness certificate is provided, showing that at least under more restrictive assumptions on the system coefficients, the control method has inherent robustness properties with respect to small errors in the model, measurements, and contro...
• Output Feedback Synthesis of Multiagent Systems With Jointly Connected Switching Networks: A Separation Principle Approach AI翻译
  作者：Su, Youfeng; Lee, Ti-Chung
  作者单位：Fuzhou University; National Sun Yat Sen University
  摘要：The article presents distributed output feedback synthesis for both leaderless consensus and leader-follower consensus of linear multiagent systems subject to jointly connected switching networks. Luenberger type distributed observers are proposed based on the neighborhood output estimation error, and distributed output feedback controllers are developed according to the certainty equivalence principle. To show uniform global exponential stability of the switched closed-loop system, a separati...
• Obstacle Avoidance via Hybrid Feedback AI翻译
  作者：Berkane, Soulaimane; Bisoffi, Andrea; Dimarogonas, Dimos, V
  作者单位：University of Quebec; University Quebec Outaouais; University of Groningen; University of Groningen; Royal Institute of Technology
  摘要：In this article, we present a hybrid feedback approach to solve the navigation problem in the n-dimensional space containing an arbitrary number of ellipsoidal obstacles. The proposed algorithm guarantees both global asymptotic stabilization to a target position and avoidance of the obstacles. The controller, exploiting hysteresis regions, employs a Zeno-free switching between two modes of control: stabilization and avoidance. Simulation results illustrate the performance of the proposed appro...
• Distributed Primal Decomposition for Large-Scale MILPs AI翻译
  作者：Camisa, Andrea; Notarnicola, Ivano; Notarstefano, Giuseppe
  作者单位：University of Bologna
  摘要：This article deals with a distributed Mixed-Integer Linear Programming (MILP) setup arising in several control applications. Agents of a network aim to minimize the sum of local linear cost functions subject to both individual constraints and a linear coupling constraint involving all the decision variables. A key, challenging feature of the considered setup is that some components of the decision variables must assume integer values. The addressed MILPs are NP-hard, nonconvex, and large-scale...
• Distributed State Estimation Over Time-Varying Graphs: Exploiting the Age-of-Information AI翻译
  作者：Mitra, Aritra; Richards, John A.; Bagchi, Saurabh; Sundaram, Shreyas
  作者单位：Purdue University System; Purdue University; United States Department of Energy (DOE); Sandia National Laboratories
  摘要：We study the problem of designing a distributed observer for an LTI system over a time-varying communication graph. The limited existing work on this topic imposes various restrictions either on the observation model or on the sequence of communication graphs. In contrast, we propose a single-time-scale distributed observer that works under mild assumptions. Specifically, our communication model only requires strong-connectivity to be preserved over nonoverlapping, contiguous intervals that ar...
• Dynamic Programming and a Verification Theorem for the Recursive Stochastic Control Problem of Jump-Diffusion Models With Random Coefficients AI翻译
  作者：Moon, Jun; Basar, Tamer
  作者单位：Hanyang University; University of Illinois System; University of Illinois Urbana-Champaign
  摘要：In this article, we consider the stochastic optimal control problem for (forward) stochastic differential equations (SDEs) with jump diffusions and random coefficients under a recursive-type objective functional captured by a backward SDE (BSDE). Due to the jump-diffusion process with random coefficients in both the constraint (forward SDE) and the recursive BSDE objective functional, the associated Hamilton-Jacobi-Bellman equation (HJBE) is an integro-type second-order nonlinear stochastic PD...
• Robust Linearly Constrained Kalman Filter for General Mismatched Linear State-Space Models AI翻译
  作者：Vila-Valls, Jordi; Chaumette, Eric; Vincent, Francois; Closas, Pau
  作者单位：Universite de Toulouse; Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO); Northeastern University
  摘要：It is well known that Wiener filter and Kalman filter (KF) like techniques are sensitive to misspecified covariances, uncertainties in the system matrices, filter initialization, or unwanted system behaviors. A possible solution to robustify these estimation techniques is to impose linear constraints (LCs). In this article: 1) we introduce a general class of linearly constrained KF (LCKF), where a set of nonstationary LCs can be set at every time step; 2) explore the use of such LCs to mitigat...
• Disturbance Rejection MPC Framework for Input-Affine Nonlinear Systems AI翻译
  作者：Xie, Huahui; Dai, Li; Lu, Yuchen; Xia, Yuanqing
  作者单位：Beijing Institute of Technology
  摘要：This article proposes a novel disturbance rejection model predictive control (DRMPC) framework to improve the robustness of model predictive control (MPC) for a broad class of input-affine nonlinear systems with constraints and state-dependent disturbances. The proposed controller includes two parts-a disturbance compensation input and an optimal MPC control input. The former one is designed to compensate for the matched disturbance actively. This is made possible via a disturbance observer th...
• Adaptive Prescribed-Time Control for a Class of Uncertain Nonlinear Systems AI翻译
  作者：Hua, Changchun; Ning, Pengju; Li, Kuo
  作者单位：Yanshan University
  摘要：This article focuses on the problem of prescribed-time control for a class of uncertain nonlinear systems. First, a prescribed-time stability theorem is proposed by following the adaptive technology for the first time. Based on this theorem, a new state feedback control strategy is put forward by using the backstepping method for high-order nonlinear systems with unknown parameters to ensure the prescribed-time convergence. Moreover, the prescribed-time controller is obtained in the form of co...