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作者:Dhamal, Swapnil; Ben-Ameur, Walid; Chahed, Tijani
作者单位:Indian Institute of Technology System (IIT System); Indian Institute of Technology (IIT) - Ropar; IMT - Institut Mines-Telecom; Institut Polytechnique de Paris; Telecom SudParis
摘要:The literature on investment strategies for steering opinion dynamics on networks primarily focuses on discrete time models. This work proposes an investment framework for a continuous time model that captures essential factors, such as opinion bias, network effect, and camp investment, by extending Friedkin-Johnsen and Taylor's models. We, hence, devise an optimal investment strategy in the presence of various constraints and present its properties, such as memorylessness. We also show that t...
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作者:Joa, Eunhyek; Borrelli, Francesco
作者单位:University of California System; University of California Berkeley
摘要:In this article, we propose a model predictive control (MPC) with a single-step prediction horizon to approximate the solution of infinite horizon optimal control problems with the expected sum of convex stage costs for constrained linear uncertain systems. The proposed method aims to enhance a given suboptimal controller, leveraging data to achieve a nearly optimal solution for the infinite horizon problem. The method is built on two techniques. First, we estimate the expected values of the c...
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作者:Stefanovski, Jovan
作者单位:St. Clement of Ohrid University of Bitola
摘要:The problem of obtaining a dynamic controller such that its poles and the modes of the closed-loop (CL) system are in specified regions ID' and ID'' in the open left complex half-plane, such that the CL transfer matrix has as small as possible norm over a prescribed frequency range B is considered. A novel optimization algorithm for controller design is presented. The algorithm is based on iterative solving linear matrix inequalities and finds in every iteration a minimal norm static output fe...
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作者:Fan, Yuzhen; Zhang, Xiaoyu; Gao, Chuanhou; Dochain, Denis
作者单位:Zhejiang University; Southeast University - China; Universite Catholique Louvain
摘要:Neural network related machine learning algorithms, inspired by biological neuron interaction mechanisms, are advancing rapidly in the field of computing. This development may be leveraged in reverse to advance synthetic biology progress. A challenging exploration is to implement neural network functionalities through biochemical reaction networks (BCRNs), a language that is inherently compatible with in vivo, with difficulties specifically in constructing an appropriate BCRN that respects com...
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作者:Xian, Chengxin; Liu, Yongfang; Zhao, Yu; Wen, Guanghui; Chen, Guanrong
作者单位:City University of Hong Kong; Northwestern Polytechnical University; Southeast University - China
摘要:This article investigates the distributed optimal coordination problem and distributed constrained optimal coordination problem for multiple heterogeneous linear systems over a directed communication network. The objective is to develop distributed optimization algorithms for a set of heterogeneous linear agents over a directed communication network, which will drive the decision variables of the agents to the optimal state with optimal system performance. First, a new distributed optimal coor...
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作者:Zhang, Jing; Kang, Wen; Wang, Jun-Min
作者单位:Beijing Institute of Technology
摘要:This article addresses the switching-based deployment of multiagent systems using the Kuramoto-Sivashinsky model. Based on the output measurements, a switching control law is proposed to select only one leader for data transmission. The leader-actuated closed-loop system is modeled by a nonlinear Kuramoto-Sivashinsky equation. Sufficient conditions are derived to guarantee the exponential stability of the resulting system via the time-delay approach and Halanay's inequality. Finally, simulatio...
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作者:Wan, Liheng; Li, Panshuo; Lam, James
作者单位:Guangdong University of Technology; Guangdong University of Technology; University of Hong Kong
摘要:This article proposes an online cross-layered defense strategy for multichannel systems with switched dynamics under DoS attacks. The enabling condition of a channel under attacks is formulated with respect to attack flow and channel bandwidth, then a new networked control system model bridging the gap between system dynamics and network deployment is built. Based on this, the cross-layered defense strategy is proposed. It jointly optimizes the controller gain and bandwidth allocation of chann...
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作者:Fu, Jun; Jiang, Lizhong
作者单位:Northeastern University - China
摘要:An inner approximation algorithm is proposed for path-constrained dynamic optimization (PCDO) by iteratively solving restrictions of PCDO (RPCDO). First, an upper bound function of the path constraint is designed based on interval analysis theory, which is utilized to construct RPCDO. Second, the algorithm is proposed based on iteratively approximating PCDO by dividing either all the time subintervals if RPCDO is infeasible or the active time subintervals if its solution does not satisfy the k...
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作者:Lishkova, Yana; Cannon, Mark
作者单位:University of Oxford
摘要:A novel robust nonlinear model predictive control strategy is proposed for systems with nonlinear dynamics and convex state and control constraints. Using a sequential convex approximation approach and a difference of convex functions representation, the scheme constructs tubes that contain predicted model trajectories, accounting for approximation errors and disturbances, and guaranteeing constraint satisfaction. An optimal control problem is solved as a sequence of convex programs. We develo...
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作者:Yang, Tuo; Qian, Jiachen; Duan, Zhisheng; Sun, Zhiyong
作者单位:Peking University
摘要:This article investigates the distributed Kalman filter (DKF) for linear systems, with specific attention on measurement fusion, which is a typical way of information sharing and is vital for enhancing stability and improving estimation accuracy. We show that it is the mismatch between the fused measurement and the fused covariance that leads to performance degradation or inconsistency in previous consensus-based DKF algorithms. To address this issue, we introduce two fully distributed approac...