IEEE Transactions on Automatic Control

最新文章

• Assign and Appraise: Achieving Optimal Performance in Collaborative Teams AI翻译
  作者：Huang, Elizabeth Y.; Paccagnan, Dario; Mei, Wenjun; Bullo, Francesco
  作者单位：University of California System; University of California Santa Barbara; Imperial College London; Peking University
  摘要：Tackling complex team problems requires understanding each team member's skills in order to devise a task assignment maximizing the team performance. This article proposes a novel quantitative model describing the decentralized process by which individuals in a team learn who has what abilities, while concurrently assigning tasks to each of the team members. In the model, the appraisal network represents team members' evaluations of one another, and each team member chooses their own workload....
• Dual Effect, Certainty Equivalence, and Separation Revisited: A Counterexample and a Relaxed Characterization for Optimality AI翻译
  作者：Derpich, Milan S.; Yuksel, Serdar
  作者单位：Universidad Tecnica Federico Santa Maria; Queens University - Canada
  摘要：In this article, we study the optimality of control policies admitting certainty equivalence or separation (of estimation and control) in discrete-time stochastic control, with the following two main contributions. We first revisit the influential theorem given in the seminal 1974 paper by Bar-Shalom and Tse, which studies the equivalence between certainty equivalence (CE) and no-dual-effect (NDE) properties in discrete-time stochastic control problems involving a linear dynamic system with a ...
• Local and Global Stabilization of Switched Linear Systems With Actuator Saturation AI翻译
  作者：Hou, Tan; Li, Yuanlong; Lin, Zongli
  作者单位：Shanghai Jiao Tong University; University of Virginia
  摘要：Utilizing the min-composite Lyapunov function and the min-projection switching strategy, we solve the local and global stabilization problems for switched linear systems by saturated, not necessarily stabilizing individually, linear feedback laws. Sufficient conditions are derived in the form of matrix inequalities under which the closed-loop system is locally asymptotically stable with an estimate of the domain of attraction or is globally asymptotically stable. The derived conditions are sho...
• Quadratic Signaling With Prior Mismatch at an Encoder and Decoder: Equilibria, Continuity, and Robustness Properties AI翻译
  作者：Kazkl, Ertan; Saritas, Serkan; Gezici, Sinan; Yuksel, Serdar
  作者单位：Queens University - Canada; Middle East Technical University; Ihsan Dogramaci Bilkent University
  摘要：We consider communications through a Gaussian noise channel between an encoder and a decoder which have subjective probabilistic models on the source distribution. Although they consider the same cost function, the induced expected costs are misaligned due to their prior mismatch, which requires a game-theoretic approach. We consider two approaches: a Nash setup, with no prior commitment, and a Stackelberg solution concept, where the encoder is committed to a given announced policy a priori. W...
• Sufficient Conditions for Parameter Convergence Over Embedded Manifolds Using Kernel Techniques AI翻译
  作者：Paruchuri, Sai Tej; Guo, Jia; Kurdila, Andrew
  作者单位：Lehigh University; University System of Georgia; Georgia Institute of Technology; Virginia Polytechnic Institute & State University
  摘要：The persistence of excitation (PE) condition is sufficient to ensure parameter convergence in adaptive estimation problems. Recent results on adaptive estimation in reproducing kernel Hilbert spaces (RKHS) introduce PE conditions for RKHS. This article presents sufficient conditions for PE for the particular class of uniformly embedded RKHS defined over smooth Riemannian manifolds. This article also studies the implications of the sufficient condition in the case when the RKHS is finite or inf...
• Conditions for Convergence of Dynamic Regressor Extension and Mixing Parameter Estimators Using LTI Filters AI翻译
  作者：Yi, Bowen; Ortega, Romeo
  作者单位：University of Sydney; Instituto Tecnologico Autonomo de Mexico
  摘要：In this article, we study the conditions for convergence of the recently introduced dynamic regressor extension and mixing (DREM) parameter estimator when the extended regressor is generated using linear time-invariant filters. In particular, we are interested in relating these conditions with the ones required for convergence of the classical gradient (or least squares), namely the well-known persistent excitation (PE) requirement on the original regressor vector, phi(t) is an element of R-q,...
• Solving Dynamic Optimization Problems to a Specified Accuracy: An Alternating Approach Using Integrated Residuals AI翻译
  作者：Nie, Yuanbo; Kerrigan, Eric C.
  作者单位：Imperial College London; Imperial College London; Imperial College London
  摘要：We propose a novel direct transcription and solution method for solving nonlinear, continuous-time dynamic optimization problems. Instead of forcing the dynamic constraints to be satisfied only at a selected number of points as in direct collocation, the new approach alternates between minimizing and constraining the squared norm of the dynamic constraint residuals integrated along the whole solution trajectories. As a result, the method can obtain solutions of higher accuracy for the same mes...
• Model Predictive Control for Linear Systems Under Relaxed Constraints AI翻译
  作者：Rakovic, Sasa V. V.; Zhang, Sixing; Sun, Haidi; Xia, Yuanqing
  作者单位：Beijing Institute of Technology
  摘要：This article considers model predictive control (MPC) for linear systems under relaxed constraints. The main novelty of our proposal is the introduction, and an adequate use, of the terminal dynamics of the slack variable associated with relaxed constraints. The proposed MPC under relaxed constraints retains computational efficiency of the traditional MPC, while it guarantees positive invariance and exponential stability over an enlarged domain of attraction. The design method is also illustra...
• Robust Consensus of High-Order Systems Under Output Constraints: Application to Rendezvous of Underactuated UAVs AI翻译
  作者：Restrepo, Esteban; Loria, Antonio; Sarras, Ioannis; Marzat, Julien
  作者单位：National Office for Aerospace Studies & Research (ONERA); Universite Paris Saclay; Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay; Royal Institute of Technology; National Office for Aerospace Studies & Research (ONERA); Universite Paris Saclay
  摘要：We solve output- and state-consensus problems for multiagent high-order systems in feedback form. We consider systems interconnected over arbitrary (connected) undirected-topology networks as well as directed spanning-trees and directed cycles. We assume that the systems may be subject to multiple restrictions in the form of output or state constraints, such as limited-range measurements and physical limitations. In addition, we suppose that the systems may be subject to external disturbances....
• Model Predictive Control for Linear Uncertain Systems Using Integral Quadratic Constraints AI翻译
  作者：Schwenkel, Lukas; Koehler, Johannes; Mueller, Matthias A. A.; Allgoewer, Frank
  作者单位：University of Stuttgart; Swiss Federal Institutes of Technology Domain; ETH Zurich; Leibniz University Hannover
  摘要：In this work, we propose a tube-based model predictive control (MPC) scheme for state- and input-constrained linear systems subject to dynamic uncertainties characterized by dynamic integral quadratic constraints (IQCs). In particular, we extend the framework of $\rho$-hard IQCs for exponential stability analysis to external inputs. This result yields that the error between the true uncertain system and the nominal prediction model is bounded by an exponentially stable scalar system. In the pr...