IEEE Transactions on Automatic Control

最新文章

• Data-Driven Reachability and Support Estimation With Christoffel Functions AI翻译
  作者：Devonport, Alex; Yang, Forest; El Ghaoui, Laurent; Arcak, Murat
  作者单位：University of California System; University of California Berkeley; VinUniversity
  摘要：In this article, we present algorithms for estimating the forward reachable set of a dynamical system using only a finite collection of independent and identically distributed samples. The produced estimate is the sublevel set of a function called an empirical inverse Christoffel function: empirical inverse Christoffel functions are known to provide good approximations to the support of probability distributions. In addition to reachability analysis, the same approach can be applied to general...
• Structured Static Output Feedback Mixed H2/H∞ Control for Linear Control Systems AI翻译
  作者：Wu, Jenq-Lang
  作者单位：National Taiwan Ocean University
  摘要：This note considers the design of static output feedback mixed H-2/H-infinity controllers for linear control systems with certain equality and inequality constraints imposed directly on the feedback matrix. Based on the barrier method, we solve an auxiliary minimization problem to obtain an approximate solution to the original nonconvex-constrained optimization problem. The necessary conditions for the optimal solution of the auxiliary minimization problem are derived using the Lagrange multip...
• Consensus Tracking of Singular Multiagent Systems via Sliding-Mode Approach AI翻译
  作者：Liu, Xiaofan; Xie, Yongfang; Li, Fanbiao; Gui, Weihua
  作者单位：Central South University; Xidian University
  摘要：The admissible consensus tracking control of singular multiagent systems under nonlinear actuator attacks is investigated in this article. A novel distributed adaptive protocol is designed, which can approximate the actuator attack by adaptive updating the weight matrix of neural network. An integral sliding surface is constructed based on the singularity of agents, and the sliding-mode dynamics can reach the sliding-mode surface in finite time under the proposed protocols. Sufficient conditio...
• Flocking of Multiagent Systems With Nonuniform and Nonconvex Input Constraints AI翻译
  作者：Huang, Yi; Fang, Wentuo; Chen, Zhiyong; Li, Yonggang; Yang, Chunhua
  作者单位：Central South University; Inspur; University of Newcastle
  摘要：This article investigates the nonuniform and nonconvex input-constrained flocking control problem of continuous-time multiagent systems. A distributed flocking control algorithm is proposed for each agent using the local information from its neighbor agents subject to nonuniform and nonconvex control constraints. Based on a constraint scaling factor and a specific coordinate transformation, a Lyapunov function is constructed to address the nonlinearities caused by input constraints. It is prov...
• The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms AI翻译
  作者：Rosolia, Ugo; Chen, Yuxiao; Daftry, Shreyansh; Ono, Masahiro; Yue, Yisong; Ames, Aaron D.
  作者单位：California Institute of Technology; California Institute of Technology; National Aeronautics & Space Administration (NASA); NASA Jet Propulsion Laboratory (JPL)
  摘要：This article studies the problem of steering a linear system subject to state and input constraints toward a goal location that may be inferred only through noisy partial observations. We assume mixed-observable settings, where the system's state is fully observable and the environment's state defining the goal location is only partially observed. In these settings, the planning problem is an infinite-dimensional optimization problem where the objective is to minimize the expected cost. We sho...
• Maximum Entropy Optimal Control of Continuous-Time Dynamical Systems AI翻译
  作者：Kim, Jeongho; Yang, Insoon
  作者单位：Seoul National University (SNU); Korea Institute for Advanced Study (KIAS); Seoul National University (SNU); Seoul National University (SNU)
  摘要：Maximum entropy reinforcement learning methods have been successfully applied to a range of challenging sequential decision-making and control tasks. However, most of the existing techniques are designed for discrete-time systems although there has been a growing interest to handle physical processes evolving in continuous time. As a first step toward their extension to continuous-time systems, this article aims to study the theory of maximum entropy optimal control in continuous time. Applyin...
• Codiagnosability Enforcement in Labeled Petri Nets AI翻译
  作者：Ran, Ning; Li, Tingting; He, Zhou; Seatzu, Carla
  作者单位：Hebei University; Shaanxi University of Science & Technology; University of Cagliari
  摘要：This article aims to enforce codiagnosability in labeled Petri nets, which are monitored by a series of sites. A labeled Petri net is codiagnosable with respect to a certain fault, if the occurrence of such a fault could be detected by at least one of the sites. We assume that codiagnosability is imposed to a noncodiagnosable system by appropriately positioning additional sensors. In particular, the goal is that of minimizing the cost of the new sensors. The enumeration of the whole state spac...
• A Novel Full Errors Fixed-Time Control for Constraint Nonlinear Systems AI翻译
  作者：Sui, Shuai; Chen, C. L. Philip; Tong, Shaocheng
  作者单位：Liaoning University of Technology; South China University of Technology
  摘要：In this article, the issue of adaptive control design with full error constraints for multi-input and multi-output nonlinear systems is investigated. By combining nonlinear filters and an adaptive back-stepping control scheme, a novel dynamic surface control (DSC) scheme is presented. Different from the DSC scheme with the traditional linear filter, the proposed DSC not only solves the inherent problem of computational complexity explosion, but also enhances the control property. In addition, ...
• Distributed Pinning Set Stabilization of Large-Scale Boolean Networks AI翻译
  作者：Zhu, Shiyong; Lu, Jianquan; Sun, Liangjie; Cao, Jinde
  作者单位：Southeast University - China; Southeast University - China; Linyi University; University of Hong Kong; Southeast University - China; Purple Mountain Laboratories; Yonsei University
  摘要：In this article, we design the distributed pinning controllers to globally stabilize a Boolean network (BN), especially a sparsely connected large-scale one, toward a preassigned subset of states through the node-to-node message exchange. Given an appointed set of states, system nodes are partitioned into two disjoint parts, whose states are, respectively, fixed or arbitrary with respect to the given state set. With such node division, three parts of pinned nodes are selected and the state fee...
• Variable Elimination in Model Predictive Control Based on K-SVD and QR Factorization AI翻译
  作者：Bemporad, Alberto; Cimini, Gionata
  作者单位：IMT School for Advanced Studies Lucca
  摘要：For linearly constrained least-squares problems that depend on a vector of parameters, this article proposes techniques for reducing the number of involved optimization variables. After first eliminating equality constraints in a numerically robust way by QR factorization, we propose a technique based on singular value decomposition (SVD) and unsupervised learning, that we call $K$-SVD, and neural classifiers to automatically partition the set of parameter vectors in $K$ nonlinear regions in w...