Multiple model adaptive control of system with bounded disturbance based on dynamic optimization of model set

作者：Lin Jinxing; Fei Shumin^*

来源：Journal of Southeast University(Natural Science Edition), 2010, 40(SUPPL. 1): 98-102.

• Adaptive Control
• Adaptive control strategy
• Adaptive models
• Best model
• Bounded disturbances
• Bounded errors
• Computation burden
• Discrete time system
• Dynamic optimization
• Feasible set
• Index functions
• Input-output
• Jumping parameters
• Model set
• Multiple models
• Multiple-model adaptive controls
• ON dynamics
• Optimization strategy
• Reference inputs
• Simulation result
• Steady state errors
• Transient response

A switching multiple models adaptive control strategy based on dynamic optimization of model set is designed for discrete time systems with bounded disturbance and jumping parameters. Multiple fixed models are adopted to improve the transient response, and two adaptive models are used to eliminate the steady state error. By using a switching index function, the best model is selected. At the same time, an optimal feasible set orientation and dynamic bestrow based optimization strategy is proposed to on-line create fixed model set. Consequently, the number of fixed models and the computation burden are reduced greatly. It is proved that the closed-loop system is input-output stable, and the output of the system can track any bounded reference input with bounded error. The simulation results confirm the efficacy of the proposed method.

• 出版日期2010
• 单位南京邮电大学