An algebraic Riccati equation approach to H∞ optimization
Systems & Control Letters
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Genetic Programming and Evolvable Machines
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GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
IEEE Transactions on Evolutionary Computation
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Automatica (Journal of IFAC)
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IEEE Transactions on Neural Networks
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Proceedings of the 12th annual conference on Genetic and evolutionary computation
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Information Sciences: an International Journal
Solving differential equations with Fourier series and Evolution Strategies
Applied Soft Computing
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In this paper, we propose a novel approach to find the solution of the matrix Riccati differential equation (MRDE) for nonlinear singular systems using genetic programming (GP). The goal is to provide optimal control with reduced calculation effort by comparing the solutions of the MRDE obtained from the well known traditional Runge Kutta (RK) method to those obtained from the GP method. We show that the GP approach to the problem is qualitatively better in terms of accuracy. Numerical examples are provided to illustrate the proposed method.