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Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 1, 页码: 69-77
作者:  Chu, Hongjun;  Chen, Jianliang;  Wei, Qinglai;  Zhang, Weidong
收藏  |  浏览/下载：304/0  |  提交时间：2019/07/12
reduced order systems  observers  multi-agent systems  linear systems  multi-robot systems  actuators  robust control  state feedback  feedback  control system synthesis  topology  robust global consensus tracking  input saturation  agent dynamics  general linear systems  actuator saturation  input additive uncertainties  state feedback protocol  disturbance rejection  reduced-order observer-based protocol design  linear multi-agent systems  scheduled low-and-high gain feedback  network topology  
Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 4, 页码: 534-542
作者:  Sui, Shuai;  Chen, C. L. Philip
收藏  |  浏览/下载：268/0  |  提交时间：2019/07/12
chemical reactors  stochastic systems  control system synthesis  feedback  differential equations  adaptive control  uncertain systems  observers  stochastic processes  nonlinear control systems  stability  fuzzy control  control nonlinearities  probability  adaptive output-feedback finite-time stabilisation  two-stage chemical reactor  uncertain stochastic nonlinear system  unmeasured system variables  fuzzy logic systems  fuzzy state observer  stochastic differential equation  adaptive backstepping intelligent control  two-stage continuous stirred tank reactor process  controller design  single-input single-output system  SISO  probability  
Adaptive dynamic programming for robust neural control of unknown continuous-time non-linear systems 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 14, 页码: 2307-2316
作者:  Yang, Xiong;  He, Haibo;  Liu, Derong;  Zhu, Yuanheng
浏览  |  Adobe PDF(2123Kb)  |  收藏  |  浏览/下载：440/144  |  提交时间：2017/09/13
Dynamic Programming  Robust Control  Neurocontrollers  Continuous Time Systems  Control System Synthesis  Nonlinear Control Systems  Optimal Control  Function Approximation  Monte Carlo Methods  Closed Loop Systems  Asymptotic Stability  Adaptive Dynamic Programming  Robust Neural Control Design  Unknown Continuous-time Nonlinear Systems  Ct Nonlinear Systems  Adp-based Robust Neural Control Scheme  Robust Nonlinear Control Problem  Nonlinear Optimal Control Problem  Nominal System  Adp Algorithm  Actor-critic Dual Networks  Control Policy Approximation  Value Function Approximation  Actor Neural Network Weights  Critic Nn Weights  Monte Carlo Integration Method  Closed-loop System  Asymptotically Stability