By Nikolai Michailovich Filatov, Heinz Unbehauen
This monograph demonstrates how the functionality of varied recognized adaptive controllers may be superior considerably utilizing the twin impression. The adjustments to include twin regulate are discovered individually and independently of the most adaptive controller with no complicating the algorithms. a brand new bicriterial method for twin keep an eye on is built and utilized to varied varieties of renowned linear and nonlinear adaptive controllers. functional purposes of the designed controllers to numerous real-time difficulties are provided. This monograph is the 1st e-book offering a whole exposition at the twin keep an eye on challenge from the inception within the early Sixties to the current cutting-edge aiming at scholars and researchers in adaptive regulate in addition to layout engineers in undefined.
Read Online or Download Adaptive dual control: theory and applications PDF
Best information theory books
The idea of algebraic functionality fields over finite fields has its origins in quantity concept. besides the fact that, after Goppa`s discovery of algebraic geometry codes round 1980, many functions of functionality fields have been present in assorted components of arithmetic and knowledge concept, corresponding to coding concept, sphere packings and lattices, series layout, and cryptography.
Hibernate and MongoDB are a strong mixture of open resource patience and NoSQL applied sciences for modern Java-based company and cloud program builders. Hibernate is the major open resource Java-based endurance, item relational administration engine, lately repositioned as an item grid administration engine.
- Uncertainty And Information: Foundations of Generalized Information Theory
- Komplexitätstheorie: Grenzen der Effizienz von Algorithmen
- Information-Spectrum Methods in Information Theory
- IT’s hidden face: Everything you always wanted to know about Information Technology. A look behind the scenes
Extra resources for Adaptive dual control: theory and applications
21). After substituting of eq. 2) into eq. 20) and taking the expectation (compare Appendix D) using eqs. 32) 40 4. BICRITERIAL SYNTHESIS METHOD FOR DUAL CONTROLLERS J ka (u c (k ) − θ (k )) − J ka (uc (k ) + θ (k )) = − pb1 (k )[u c (k ) − θ (k )]2 − 2 pbT p (k )m 0 (k )(uc (k ) − θ (k )) 1 0 + pb1 (k )[uc (k ) + θ (k )] 2 + 2 pbT p 1 0 (k )m 0 (k )(u c (k ) + θ (k )) = 4 pb1 (k )θ (k )uc (k ) + 4 pbT p (k )m 0 (k )θ (k ) . 33) Substituting eq. 31) provides the adaptive dual control law u (k ) = uc (k ) + θ (k )sgn [ pb1 (k )uc (k ) + pbT p (k )m 0 (k )] .
38). The adaptive dual GMV controller, according to eqs. 62), is applied as well as the standard adaptive GMV controller based on the CE assumption for comparison. 1052 z − 2 . The plant parameters are assumed to be unknown and constant. The following values have been chosen for the GMV algorithm: 4. 6. 4 z −2 . 4. 7. Simulation results for the adaptive controller based on the CE assumption Upper and lower limits of ±500 are used for the control signal. The controller based on the CE assumption can be obtained from eq.
At first, some remarks about least-squares parameter estimation for SISO systems with timevarying parameters are given. 1. 1. Algorithms for Parameter Estimation Consider a discrete-time SISO system with time-varying parameters described by y (k + 1) = b1 (k )u (k ) + ... + bm (k )u (k − m + 1) − a1 (k ) y (k ) + ... 1) where y ( k ) is the system output and u ( k ) the control signal. , m are the unknown time-varying plant parameters. bm (k ) − a1 (k ) ... u (k − m + 1) T y (k )... y (k − n + 1)] .