Computing the frequency response of linear systems with parametric perturbation
Systems & Control Letters
An introduction to differential evolution
New ideas in optimization
Quantitative Feedback Theory: Fundamentals and Applications
Quantitative Feedback Theory: Fundamentals and Applications
Robust Control: Systems with Uncertain Physical Parameters
Robust Control: Systems with Uncertain Physical Parameters
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Feedback Control Theory
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This paper presents the lateral acceleration control design of non-linear missile model using the multiple single objective Pareto sampling method. The LTI controller design for the uncertain plants is carried out by minimizing gain-phase margin and tracking fequency domain-based performance objectives. The Pareto optimal solutions (corresponding to a given set of weight vectors) are obtained. The selected solution, as illustration, is analysed. The gain-scheduling controller is obtained by the interpolation of zeros, poles and gains, where the smooth deterministic transition rule is implemented using the TS fuzzy model. The non-linear simulation results show that the selected interpolated controller is a robust tracking controller for all perturbation vertices.