Model-free Periodic Adaptive Control for a Class of Nonlinear and Non-affine Discrete-Time Systems

摘要：

In this paper,by introducing the concept of PPD,we give a new dynamical linearization method and present a new model-free periodic adaptive control approach for a class of general nonlinear and non-affine discrete-time systems.The only prior knowledge is that the given trajectory is periodic with a known period and the controller design and convergence analysis only depends on the I/O data of the dynamical system.In other words,we can easily select the control parameters without requiring any other knowledge of the control system.The model-free periodic adaptive control updates the PPD values and control signal periodically in a pointwise manner over one entire period by the PPD estimate values and the I/O data of the preceding period,instead of the preceding time instance,in the sequel achieves the geometrical tracking convergence.A simulation example illustrates the feasibility and effectiveness of the proposed method.

关键词： model-free adaptive control discrete-time system nonlinear and non-affine dynamics periodic adaptation PPD.

作者: Rong-hu Chi Jing Sun Shu-lin Sui Zhong-sheng Hou

作者单位: Institute of Autonomous Navigation andIntelligent ControlSchool of Automation and Electronics Engine Institute of Autonomous Navigation andIntelligent Control School of Automation and Electronics Engin School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）