Algebraic Identification and Estimation Methods in Feedback Control Systems by Hebertt Sira-Ramírez, Carlos García-Rodríguez, John Cortés-Romero, Alberto Luviano-Juárez
English | PDF (True) | 2014 | 379 Pages | ISBN : 1118730607 | 6.7 MB
lgebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems. This approach evades the mathematical intricacies of the traditional stochastic approach, proposing a direct model-based scheme with several easy-to-implement computational advantages. The approach can be used with continuous and discrete, linear and nonlinear, mono-variable and multi-variable systems. The estimators based on this approach are not of asymptotic nature, and do not require any statistical knowledge of the corrupting noises to achieve good performance in a noisy environment. These estimators are fast, robust to structured perturbations, and easy to combine with classical or sophisticated control laws.