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基于观测器的鲁棒模型预测控制算法 被引量:5

Robust Model Predictive Control Method Based on State Observer
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摘要 对于含有未建模动态的输入受限离散时间线性系统 ,当系统状态不可测时 ,提出一种基于状态观测器的鲁棒模型预测控制算法。该算法采用双模控制结构 ,将不变椭圆集同时应用于估计状态方程和误差方程 ,保证算法的稳定性和可行性 。 A robust model predictive control algorithm is presented for linear discrete-time system with input constraint and unmodelling dynamics when the state of controlled system are unmeasurable. Using dual mode control structure, the ellipsoid invariant set is applied to estimate state and states estimation error to guarantee the stability and feasibility of the algorithm. The conditions of stability and feasibility of system are presented as well.
出处 《控制与决策》 EI CSCD 北大核心 2001年第5期557-560,564,共5页 Control and Decision
基金 国家杰出青年科学基金项目 (6982 510 6) 教育部骨干教师基金项目
关键词 观测器 鲁棒模型预测控制 算法 鲁棒控制器 Algorithms Computer simulation Constraint theory Discrete time control systems Invariance Linear control systems Mathematical models Robustness (control systems) Set theory State estimation System stability
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参考文献4

  • 1[1]B Kouvaritakis, J A Rossiter, J Schuurmans. Effic ient ro bust predictive control[A].Proc Amer Contr Conf[C].San Diego,1999.
  • 2[2]V K Mayuresh, B Venkataramanan, M Morari. Robust constrained model predictive control using linear matrix inequalities[J].Automatica,1996,32(10) :1361-1379.
  • 3[3]J A Rossiter, B Kouvaritakis, M J Rice. A numerically robust state-space approach to stable-predictive control strategies[J].Automatica,1998, 34(1):65-73.
  • 4[4]M Cannon, B Kouvaritakis, Y I Lee et al. Efficient nonlinear mo del based predictive control[R].University of Oxford,1999.

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