Research on Multi UAVs Formation Detection and Its Extensions in Control Theory

推荐语

The monograph is intended as a textbook for graduate students as well as a basic reference for practicing engineers facing the problem of designing formation control systems.Control researchers from other areas will find a comprehensive presentation of the field with bridges to various other control design techniques.

内容简介

Multi UAVs formation detection includes lots of aspects, such as vision detection, trajectory detection and target tracking etc.The aim of this monograph is to study this problem of multi UAVs formation detection from the point of system identification and advanced control theory.We formulate the research on multi UAVs formation detection as some identification or control problems.More specifically, the detailed description about multi UAVs formation anomaly detection is proposed, and this formation anomaly detection can be changed as one system identification problem.Then some existed knowledge from system identification and dynamic programming are applied to achieve the expected detection accuracy.

目录

Chapter 1 Basic Knowledge for Multi UAVs Formation Anomaly Detection

1.1 Introduction

1.2 Bias Compensated Estimation in Multi UAVs Formation Anomaly Detection

1.3 Combining Recursive Projection and Dynamic Programming Technique in Multi UAVs Formation Anomaly Detection

1.4 Summary

Chapter 2 Synthesis Identification Analysis for Multi UAVs Formation Anomaly Detection and Its Extension

2.1 Introduction

2.2 Synthesis Analysis for Multi UAVs Formation Anomaly Detection

2.3 An Improved Ellipsoid Optimization Algorithm in Subspace Predictive Control

2.4 Summary

Chapter 3 Optimal Input Design for Multi UAVs Formation Anomaly Detection and Its Extension

3.1 Introduction

3.2 Optimal Input Deign for Multi UAVs Formation Anomaly Detection

3.3 Optimal Input Design for Internal Model Control

3.4 Summary

Chapter 4 Detection and Identification for Multi UAVs Formation Flutter

Model Parameters

4.1 Introduction

4.2 Combing Instrumental Variable and Variance Matching

4.3 Set Membership Identification

4.4 Summary

Chapter 5 Target Tracking for Multi UAVs Formation Cooperative Detection

5.1 Introduction

5.2 Application of Ellipsoidal Approximation

5.3 Summary

Chapter 6 Some Extensions in Robust Model Predictive Control Based on Interval Predictor Estimation

6.1 Introduction

6.2 Basic Priori Knowledge

6.3 Some Preliminaries about State Space Equation and Interval Predictor

6.4 Interval Predictor

6.5 Robust Model Predictive Control Based on Interval Predictor

6.6 Solving Min-max Optimization

6.7 Summary

Chapter 7 Conclusions and Outlook

7.1 Conclusions

7.2 Outlook

References