Current location - Training Enrollment Network - Mathematics courses - Directory of system identification and adaptive control
Directory of system identification and adaptive control
foreword

0. 1 About system identification

0.2 Application and Development of System Identification

0.3 About adaptive control

0.4 Application and Development of Adaptive Control System

1 Theory, method and application of partial system identification

1 Chapter Basic Concepts of System Identification

1. 1 Basic principles of system identification

Mathematical model of 1.2 system description

Description and analysis of 1.3 random signal

1.4 white noise and pseudo-random code

1.5 steps and contents of system identification

Basic application of 1.6 system identification

The second chapter is the classical method of system identification.

2. 1 step response system identification

2.2 Frequency response method system identification

2.3 Association analysis system identification

Chapter 3 Least Square Algorithm for System Identification

3. 1 least squares principle

3.2 Recursive algorithm of least squares estimation

3.3 slow time-varying parameter least squares recursive algorithm

3.4 Generalized Least Squares Method

3.5 auxiliary variable method

3.6 Joint estimation of parameters and states

3.7 Least Square Identification of Multivariable Systems

Chapter four: random approximation method, maximum likelihood method and prediction error method of system identification.

4. 1 System Identification and Training Stochastic Approximation (SAA)

4.2 Maximum Likelihood Method (ML) for System Identification

4.3 Prediction Error Method (PE) for System Identification

Chapter 5 Structure Identification of Digital Model

5. 1 Estimate the order of the model according to the Hangel moment.

5.2 Estimate the order of the model according to the product moment matrix.

5.3 Estimate the order of the model according to the sum of squares of residuals.

5.4 Estimate the membership degree of the model according to the information standard.

Chapter 6 Identification of Closed-loop System

6. 1 identifiability of closed-loop system

6.2 Closed-loop identification method and identifiable conditions

6.3 Application of Least Square Method and Auxiliary Variable Method in Closed-loop Identification

Chapter 7: The development of system identification and its application in production practice.

7. 1 fuzzy relation model identification and application

7.2 Fault detection and prediction using identification technology

7.3 Self-tuning Predictor

The second part is adaptive control

Chapter 8 Introduction of Adaptive Control

8. 1 What is an adaptive control system?

8.2 Why do you need adaptive control

8.3 Adaptive Control Scheme

8.4 Design and theoretical problems of adaptive control

Chapter 9 Model Reference Adaptive Control

9. 1 model reference adaptive control

9.2 Design method based on local parameter optimization theory

9.3 Design a model reference adaptive control system based on Lyapunov stability theory.

Chapter 10 self-adjusting control (1)

10. 1 Overview of self-tuning control

10.2 single-step output predictive self-tuning control

10.3 control weighted self-tuning control

Chapter 1 1 Self-tuning Control (2)

1 1. 1 pole configuration self-tuning control

1 1.2 self-tuning PID control

1 1.3 expert self-tuning PID controller

1 1.4 generalized predictive control

Chapter 12 multivariable self-tuning control

12. 1 multivariable self-tuning regulator

12.2 multivariable self-tuning controller

12.3 multivariable pole assignment self-tuning controller

Self-tuning decoupling control of 12.4 multivariable system

13 development and application of adaptive control system

13. 1 development of adaptive control technology

13.2 weighted generalized predictive self-tuning control for industrial boilers

Self-tuning intelligent pole assignment internal model control for 13.3 large time-delay systems

refer to

……