11期

最新文章

• A General Class of Control Lyapunov Functions and Sampled-Data Stabilization AI翻译
  作者：Chrysafi, Katerina; Tsinias, John
  作者单位：National Technical University of Athens
  摘要：Several important contributions toward sampled-data and hybrid feedback stabilization have appeared in the literature. This article extends recent results by second author concerning sampled-data feedback stabilization for affine in the control of nonlinear systems with a nonzero drift term, under the presence of a generalized control Lyapunov function associated with appropriate Lie algebraic hypotheses concerning the dynamics of the system. The main results of this article constitute a gener...
• Online Learning Over Dynamic Graphs via Distributed Proximal Gradient Algorithm AI翻译
  作者：Dixit, Rishabh; Bedi, Amrit Singh; Rajawat, Ketan
  作者单位：Rutgers University System; Rutgers University New Brunswick; Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Kanpur
  摘要：We consider the problem of tracking the minimum of a time-varying convex optimization problem over a dynamic graph. Motivated by target tracking and parameter estimation problems in intermittently connected robotic and sensor networks, the goal is to design a distributed algorithm capable of handling nondifferentiable regularization penalties. The proposed proximal online gradient descent algorithm is built to run in a fully decentralized manner and utilizes consensus updates over possibly dis...
• A Distributed Forward-Backward Algorithm for Stochastic Generalized Nash Equilibrium Seeking AI翻译
  作者：Franci, Barbara; Grammatico, Sergio
  作者单位：Delft University of Technology
  摘要：We consider the stochastic generalized Nash equilibrium problem (SGNEP) with expected-value cost functions. Inspired by Yi and Pavel (2019), we propose a distributed generalized Nash equilibrium seeking algorithm based on the preconditioned forward-backward operator splitting for SGNEPs, where, at each iteration, the expected value of the pseudogradient is approximated via a number of random samples. Our main contribution is to show almost sure convergence of the proposed algorithm if the pseu...
• Linear-Convex Optimal Steady-State Control AI翻译
  作者：Lawrence, Liam S. P.; Simpson-Porco, John W.; Mallada, Enrique
  作者单位：University of Toronto; University of Toronto; Johns Hopkins University
  摘要：We consider the problem of designing a feedback controller for a multivariable linear time-invariant system, which regulates a system output to the solution of an equality-constrained convex optimization problem despite unknown constant exogenous disturbances; we term this the linear-convex optimal steady-state (OSS) control problem. We introduce the notion of an optimality model, and show that the existence of an optimality model is sufficient to reduce the OSS control problem to a stabilizat...
• On the Derivation of Stability Properties for Time-Delay Systems Without Constraint on the Time-Derivative of the Initial Condition AI翻译
  作者：Lhachemi, Hugo; Shorten, Robert
  作者单位：Universite Paris Saclay; Imperial College London; University College Dublin
  摘要：Stability of retarded differential equations is closely related to the existence of Lyapunov-Krasovskii functionals. Even if a number of converse results have been reported regarding the existence of such functionals, there is a lack of constructive methods for their selection. For certain classes of time-delay systems for which such constructive methods are lacking, it was shown that Lyapunov-Krasovskii functionals that are also allowed to depend on the time-derivative of the state-trajectory...
• Optimal Decentralized Control for Uncertain Systems by Symmetric Gauss-Seidel Semi-Proximal ALM AI翻译
  作者：Ma, Jun; Cheng, Zilong; Zhang, Xiaoxue; Tomizuka, Masayoshi; Lee, Tong Heng
  作者单位：National University of Singapore; University of California System; University of California Berkeley; National University of Singapore
  摘要：The H-2-guaranteed cost decentralized control problem is investigated in this article. More specifically, on the basis of an appropriate H-2 reformulation that we put in place, the optimal control problem in the presence of parameter uncertainties is then suitably characterized by convex restriction and solved in parameter space. It is shown that a set of stabilizing decentralized controller gains for the uncertain system is parameterized in a convex set through appropriate convex restriction,...
• Data-Driven Fault-Tolerant Control for Attitude Synchronization of Nonlinear Quadrotors AI翻译
  作者：Zhao, Wanbing; Liu, Hao; Lewis, Frank L.
  作者单位：Beihang University; Beihang University; University of Texas System; University of Texas Arlington
  摘要：In this article, the data-driven fault-tolerant synchronization control problem is investigated for unknown cooperative quadrotors subject to nonlinearities and multiple actuator faults in the quadrotor dynamics. A distributed observer is provided to estimate the state of the virtual leader. Based on the reinforcement learning theory, the optimal control policy is learned for each quadrotor without any knowledge of the quadrotor dynamic information. Then, the learned control policy is used to ...
• Privatized Distributed Anomaly Detection for Large-Scale Nonlinear Uncertain Systems AI翻译
  作者：Rostampour, Vahab; Ferrari, Riccardo M. G.; Teixeira, Andre M. H.; Keviczky, Tamas
  作者单位：University of Groningen; Uppsala University; Delft University of Technology
  摘要：In this article two limitations in current distributed model based approaches for anomaly detection in large-scale uncertain nonlinear systems are addressed. The first limitation regards the high conservativeness of deterministic detection thresholds, against which a novel family of set-based thresholds is proposed. Such set-based thresholds are defined in a way to guarantee robustness in a user-defined probabilistic sense, rather than a deterministic sense. They are obtained by solving a chan...
• Stabilization of Aperiodic Sampled-Data Boolean Control Networks: A Delay Approach AI翻译
  作者：Sun, Liangjie; Ching, Wai-Ki; Lu, Jianquan
  作者单位：University of Hong Kong; Southeast University - China; Chengdu University
  摘要：In this article, a novel method for the global stochastic stability analysis of aperiodic sampled-data Boolean control networks (BCNs) is introduced. In our article, the sampling instants of aperiodic sampled-data control (ASDC) are uncertain and only the activation frequencies of the sampling interval are known. Using the semitensor product of matrices, a BCN under ASDC can be transformed into a Boolean network (BN) with stochastic delays. Specifically, the ASDC is represented as a delayed co...
• Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient AI翻译
  作者：Gravell, Benjamin; Esfahani, Peyman Mohajerin; Summers, Tyler
  作者单位：University of Texas System; University of Texas Dallas; Delft University of Technology
  摘要：The linear quadratic regulator (LQR) problem has reemerged as an important theoretical benchmark for reinforcement learning-based control of complex dynamical systems with continuous state and action spaces. In contrast with nearly all recent work in this area, we consider multiplicative noise models, which are increasingly relevant because they explicitly incorporate inherent uncertainty and variation in the system dynamics and thereby improve robustness properties of the controller. Robustne...