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Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者:  Xiong, Tianyi;  Pu, Zhiqiang;  Yi, Jianqiang;  Tao, Xinlong
收藏  |  浏览/下载：314/0  |  提交时间：2020/07/06
neurocontrollers  multi-agent systems  Lyapunov methods  closed loop systems  nonlinear control systems  time-varying systems  adaptive control  observers  uncertain systems  position control  radial basis function networks  robust control  control system synthesis  learning (artificial intelligence)  minimal learning-parameter approach  fixed-time CLSO  time-varying formation tracking problem  formation tracking control scheme  multiagent systems  time-varying formation tracking control problem  model uncertainties  velocity measurements  radial basis function neural networks  fixed-time cascaded leader state observer  fixed-time observer-based adaptive neural network time-varying formation tracking control  RBFNN-based adaptive control scheme  
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：271/0  |  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  
Neural-network-based online optimal control for uncertain non-linear continuous-time systems with control constraints 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2013, 卷号: 7, 期号: 17, 页码: 2037-2047
作者:  Yang, Xiong;  Liu, Derong;  Huang, Yuzhu
浏览  |  Adobe PDF(493Kb)  |  收藏  |  浏览/下载：342/88  |  提交时间：2015/08/12
Adaptive Control  Approximation Theory  Closed Loop Systems  Continuous Time Systems  Lyapunov Methods  Neurocontrollers  Nonlinear Control Systems  Optimal Control  Robust Control  Uncertain Systems  Neural Network-based Online Adaptive Optimal Control  Uncertain Nonlinear Continuous-time Systems  Control Constraints  Infinite-horizon Optimal Control Problem  Control Policy  Saturation Constraints  Identifier-critic Architecture  Hamilton-jacobi-bellman Equation Approximation  Uncertain System Dynamics  Critic Nn  Action-critic Dual Networks  Reinforcement Learning  Identifier Nn  Policy Iteration  Lyapunovaeuros Direct Method  Closed Loop System Stability