Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding

著录项

• 来源
  《Neural Networks, IEEE Transactions on》 |2009年第8期|p.1320-1329|共10页
• 作者

  Stepanyan V.; Kurdila A.;

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• 作者单位

  NASA Ames Res. Center, Mission Critical Technol. Inc., Moffett Field, CA, USA;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  MIMO systems; adaptive control; approximation theory; control nonlinearities; control system synthesis; convergence of numerical methods; filtering theory; neurocontrollers; nonlinear control systems; parameter estimation; robust control; tracking; uncertain systems; MIMO nonlinear uncertain system; adaptive bounding technique; asymptotic convergence; continuous nonlinearity; control signal; disturbance rejection; filtered tracking error; integral technique; multiple-input-multiple-output system; neural network approximation property; parameter estimation error; robust adaptive control design method; Asymptotic tracking; neural network approximation; nonlinear uncertain systems;

  机译：MIMO系统;自适应控制;逼近理论;控制非线性;控制系统综合;数值方法的收敛性;滤波理论;神经控制器;非线性控制系统;参数估计;鲁棒控制;跟踪;不确定系统;MIMO非线性不确定系统;自适应边界技术;渐近收敛;连续非线性;控制信号;干扰抑制;滤波跟踪误差;积分技术;多输入多输出系统;神经网络逼近特性;参数估计误差;鲁棒自适应控制设计方法;渐近跟踪;神经网络逼近;非线性不确定系统;