The thesis addresses a problem in networked control systems where quantization is a communication constraint. Control design together with parameter estimation algorithms lead to adaptive control techniques. A first order system with unknown parameters is estimated via projection algorithm recursively. Furthermore, a one-step-ahead control law is applied to regulate the output. In the second part of the thesis, the system with quantization is simplified to a system with white noise disturbance by applying a dithering method. It is shown that system with quantization error can be controlled with the same one-step-ahead control law and projection algorithm.
【 预 览 】
附件列表
Files
Size
Format
View
Adaptive control of a linear system with quantized state observations