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最新文章

• Semiglobal Periodic Event-Triggered Output Regulation for Nonlinear Multiagent Systems AI翻译
  作者：Zheng, Shiqi; Shi, Peng; Zhang, Huiyan
  作者单位：China University of Geosciences; University of Adelaide; Chongqing Technology & Business University
  摘要：This study focuses on periodic event-triggered (PET) cooperative output regulation problem for a class of nonlinear multiagent systems. The key feature of PET mechanism is that event-triggered conditions are required to be monitored only periodically. This approach is beneficial for Zeno behavior exclusion and saving of battery energy of onboard sensors. At first, new PET distributed observers are proposed to estimate the leader information. We show that the estimation error converges to zero ...
• Dynamic Min and Max Consensus and Size Estimation of Anonymous Multiagent Networks AI翻译
  作者：Deplano, Diego; Franceschelli, Mauro; Giua, Alessandro
  作者单位：University of Cagliari
  摘要：In this article, we propose two distributed control protocols for discrete-time multiagent systems, which solve the dynamic consensus problem on the max value. In this problem, each agent is fed an exogenous reference signal and has the objective to estimate and track the instantaneous and time-varying value of the maximum among all the signals fed to the network by exploiting only local and anonymous interactions among the agents. The first protocol achieves bounded steady-state and tracking ...
• Risk-Aware Linear Quadratic Control Using Conditional Value-at-Risk AI翻译
  作者：Kishida, Masako; Cetinkaya, Ahmet
  作者单位：Research Organization of Information & Systems (ROIS); National Institute of Informatics (NII) - Japan
  摘要：Stochastic linear quadratic control problems are considered from the viewpoint of risks. In particular, a worst-case conditional value-at-risk (CVaR) of quadratic objective function is minimized subject to additive disturbances whose first two moments of the distribution are known. The study focuses on three problems of finding the optimal feedback gain that minimizes the quadratic cost of: stationary distribution, one-step, and infinite time horizon. For the stationary distribution problem, i...
• Tracking Control for Nonlinear Nonparametric Systems Based on the Stochastic Approximation Algorithm AI翻译
  作者：Feng, Wenhui; Zhao, Shixin
  作者单位：Shijiazhuang Tiedao University
  摘要：In this article, we study the tracking control problem for nonlinear nonparametric systems, and additive random observation noise is also taken into account. The dynamical function is allowed to be time varying and possess an arbitrary growth rate at control input. The control algorithm is designed on the basis of the stochastic approximation algorithm with expanding truncations, and it is found that there is a tradeoff between the growth rate of the dynamical function at control input and tha...
• Remote Estimation for Energy Harvesting Systems Under Multiplicative Noises: A Binary Encoding Scheme With Probabilistic Bit Flips AI翻译
  作者：Liu, Qinyuan; Wang, Zidong; Dong, Hongli; Jiang, Changjun
  作者单位：Tongji University; Tongji University; Brunel University; Northeast Petroleum University; Northeast Petroleum University
  摘要：In this article, we investigate the state estimation problem for a class of networked systems with energy harvesting technologies, where the sensor is capable of replenishing energy from the environment. The underlying system is subject to both additive and multiplicative stochastic noises, and the measurement is transmitted to the remote estimator only when the current energy storage is larger than the transmission energy consumption. A binary encoding scheme is utilized in the communication ...
• On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization AI翻译
  作者：Fattahi, Salar; Josz, Cedric; Ding, Yuhao; Mohammadi, Reza; Lavaei, Javad; Sojoudi, Somayeh
  作者单位：University of Michigan System; University of Michigan; Columbia University; University of California System; University of California Berkeley
  摘要：In this article, we study the landscape of an online nonconvex optimization problem, for which the input data vary over time and the solution is a trajectory rather than a single point. To understand the complexity of finding a global solution of this problem, we introduce the notion of spurious (i.e., nonglobal) local trajectory as a generalization to the notion of spurious local solution in nonconvex (time-invariant) optimization. We develop an ordinary differential equation (ODE) associated...
• Reachability Analysis in Stochastic Directed Graphs by Reinforcement Learning AI翻译
  作者：Possieri, Corrado; Frasca, Mattia; Rizzo, Alessandro
  作者单位：Consiglio Nazionale delle Ricerche (CNR); Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti (IASI-CNR); University of Catania; Polytechnic University of Turin; New York University; New York University Tandon School of Engineering
  摘要：We characterize the reachability probabilities in stochastic directed graphs by means of reinforcement learning methods. In particular, we show that the dynamics of the transition probabilities in a stochastic digraph can be modeled via a difference inclusion, which, in turn, can be interpreted as a Markov decision process. Using the latter framework, we offer a methodology to design reward functions to provide upper and lower bounds on the reachability probabilities of a set of nodes for stoc...
• Incentive Mechanism Design for Unicast Service Provisioning With Network Aggregative Game AI翻译
  作者：Eslami, Ehsan; Kebriaei, Hamed; Atrianfar, Hajar; Farhadi, Farzaneh
  作者单位：University of Tehran; University of Tehran; Institute for Research in Fundamental Sciences IPM; Amirkabir University of Technology; Imperial College London
  摘要：We investigate the problem of distributed resource allocation in unicast communication networks with strategic/selfish users. First, through mechanism design, the centralized problem is converted to a decentralized problem that induces a network aggregative game among users. At every Nash equilibrium, this mechanism strongly implements the solution of the resource allocation problem, and it is budget balance as well. Then, we establish a relationship between Nash equilibria of the induced game...
• 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...