{'fraction_non_alphanumeric': 0.012844036697247707, 'fraction_numerical': 0.0, 'mean_word_length': 5.494047619047619, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Multivariable control system design using eigenstructure assignment based on LMI

This paper describes a novel method of applying linear matrix inequalities (LMIs) to eigenstructure assignment (EA) approach for design of multivariable control system. Since the degree of freedom is available in EA using state or output feedback, respectively, numerous researchers have exercised this degree of freedom to make the system have good insensitively to perturbations in the system parameter matrices. We derive a series of equations to enhance system performance such as robust stability and parameter sensitivity according to left-over freedom in eigenvector and the solution of the lateral aircraft control system design is also derived using the proposed method, meanwhile, we find that this kind of design method can be classified into an optimization question and can be solved by inner point method using LMI. The implementation and verification of the control system is also presented. Simulation results on the aircraft demonstrate the good performance of the proposed control approach.