TY - BOOK
T1 - Algebraic Identification and Estimation Methods in Feedback Control Systems
AU - Sira-Ramírez, Hebertt
AU - García-Rodríguez, Carlos
AU - Cortés-Romero, John
AU - Luviano-Juárez, Alberto
N1 - Publisher Copyright:
© 2014 John Wiley & Sons Ltd. All rights reserved.
PY - 2014/5/5
Y1 - 2014/5/5
N2 - Algebraic 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. This book uses module theory, differential algebra, and operational calculus in an easy-to-understand manner and also details how to apply these in the context of feedback control systems. A wide variety of examples, including mechanical systems, power converters, electric motors, and chaotic systems, are also included to illustrate the algebraic methodology.
AB - Algebraic 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. This book uses module theory, differential algebra, and operational calculus in an easy-to-understand manner and also details how to apply these in the context of feedback control systems. A wide variety of examples, including mechanical systems, power converters, electric motors, and chaotic systems, are also included to illustrate the algebraic methodology.
UR - http://www.scopus.com/inward/record.url?scp=84901333223&partnerID=8YFLogxK
U2 - 10.1002/9781118730591
DO - 10.1002/9781118730591
M3 - Libro
SN - 9781118730607
VL - 9781118730607
BT - Algebraic Identification and Estimation Methods in Feedback Control Systems
PB - Wiley-Blackwell
ER -