-
作者：Ludeke, Taylor; Iwasaki, Tetsuya
作者单位：University of California System; University of California Los Angeles
摘要：An important objective in the design of feedback control systems is the pattern generation. The term pattern denotes the behavior of the individual plant states relative to one another in steady state, e.g., periodic with a specified frequency and phase offset. Here, we solve the optimal, linear, output feedback problem in which the controller is autonomous, achieves pattern generation, and minimizes the $L_{2}$ norm of the transient portion of the impulse response. Our result reveals the opti...
-
作者：Teel, Andrew R.
作者单位：University of California System; University of California Santa Barbara
摘要：A stochastic, hybrid algorithm for global almost sure unanimous decision making in multiagent systems is introduced. Homogeneous agents communicate over an undirected connected graph to make a unanimous selection among a finite set of decision states. The agents have inertia corresponding to stable, linear, and continuous-time dynamics. The algorithm equips each agent with a logic variable and designs logic-variable reset rules to ensure eventual unanimity. These resets occur randomly in time....
-
作者：Yue, Dongdong; Baldi, Simone; Cao, Jinde; De Schutter, Bart
作者单位：Southeast University - China; Yonsei University; Delft University of Technology
摘要：This article describes an extension of the well-known model reference adaptive control (MRAC) approach. The extension relies on explicitly involving the tracking error in the feedback control law: it is shown that including this term along with its appropriate extra adaptive gain allows one to handle possibly unstable reference dynamics. Owing to its stabilizing nature, the proposed framework is referred to as model reference adaptive stabilizing control. Such an extension turns out to be part...
-
作者：Li, Xuefang; Huang, Deqing
作者单位：Sun Yat Sen University; Sun Yat Sen University; Southwest Jiaotong University
摘要：This work concerns adaptive iterative learning control (AILC) for nonsquare multiple-input--multiple-output (MIMO) nonlinear systems. With newly introduced techniques in dealing with the nonsquare input distribution matrix, a novel robust AILC (RAILC) approach is proposed. The method is not only effective to address the perfect trajectory tracking problem for both underactuated or overactuated systems, but also shows impressive robustness and adaptiveness to various system uncertainties and ex...
-
作者：Li, Xuerong; Zhang, Ping; Dong, Hongli
作者单位：Northeast Petroleum University; Northeast Petroleum University
摘要：The widespread use of the network in control systems significantly increases the risk of cyber attacks. As a kind of cyber attacks, covert attack has attracted much attention in recent years. In a covert attack, the adversary can control the plant arbitrarily through the communication network without being detected by the monitoring system. This article is concerned with a new covert attack strategy called the robust covert attack on the cyber-physical systems. Different from the standard cove...
-
作者：Wu, Chen; Dong, Jiu-Gang
作者单位：Dalian University of Technology
摘要：We study the effects of time delay on the Cucker-Smale (CS) model under hierarchical leadership (HL). It is well known that time delays are ubiquitous in both physical phenomena and engineering applications. In this article, we establish an easily verified flocking condition for the CS model under HL subject to both transmission and reaction delays. Precisely, for the long-range weight function, we show that the flock converges to flocking exponentially fast when the size of the reaction delay...
-
作者：Gao, Xiaomeng; Li, Yajing; Fan, Hongtao
作者单位：Northwest A&F University - China
摘要：In this article, the stability in distribution by delay feedback control for a class of hybrid stochastic differential delay equations with highly nonlinear drift and diffusion coefficients is investigated for the first time. Special emphasis should be placed on our success in revealing that the stability of highly nonlinear hybrid stochastic delay systems in distribution can be achieved through more general highly nonlinear delay feedback control (than linear delay feedback control). In order...
-
作者：Huang, Yi; Meng, Ziyang; Sun, Jian; Ren, Wei
作者单位：Beijing Institute of Technology; Tsinghua University; University of California System; University of California Riverside
摘要：This article develops a unified distributed method for solving two classes of constrained networked optimization problems, i.e., optimal consensus problem and resource allocation problem with nonidentical set constraints. We first transform these two constrained networked optimization problems into a unified saddle-point problem framework with set constraints. Subsequently, two projection-based primal-dual algorithms via optimistic gradient descent ascent method and extra-gradient method are d...
-
作者：Impicciatore, Anastasia; Lun, Yuriy Zacchia; Pepe, Pierdomenico; D'Innocenzo, Alessandro
作者单位：University of L'Aquila
摘要：The communication links connecting components of wireless control systems may be affected by packet losses due to time-varying fading and interference. We consider a wireless control network with double-sided packet losses: on the sensor-controller link (sensing link) and the controller-actuator link (actuation link). We model the sensing and actuation links as finite-state Markov channels (FSMCs). One time-step delay affects the actuation link mode observation, while the sensing link mode obs...
-
作者：Ito, Kaito; Kashima, Kenji
作者单位：Institute of Science Tokyo; Tokyo Institute of Technology; Kyoto University
摘要：We consider an entropy-regularized version of optimal density control of deterministic discrete-time linear systems. Entropy regularization, or a maximum entropy (MaxEnt) method for optimal control, has attracted much attention especially in reinforcement learning due to its many advantages, such as a natural exploration strategy. Despite the merits, high-entropy control policies induced by the regularization introduce probabilistic uncertainty into systems, which severely limits the applicabi...
