1# Library to Find Best eBook for Read
Author : Olle Trollberg
Release : 2017
Genre :
Kind : eBook
Book Rating : 931/5 ( reviews)
Book Synopsis On Real-Time Optimization Using Extremum Seeking Control and Economic Model Predictive Control by : Olle Trollberg
Download or read book On Real-Time Optimization Using Extremum Seeking Control and Economic Model Predictive Control written by Olle Trollberg. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kartik B. Ariyur
Release : 2003-10-03
Genre : Mathematics
Kind : eBook
Book Rating : 592/5 ( reviews)
Book Synopsis Real-Time Optimization by Extremum-Seeking Control by : Kartik B. Ariyur
Download or read book Real-Time Optimization by Extremum-Seeking Control written by Kartik B. Ariyur. This book was released on 2003-10-03. Available in PDF, EPUB and Kindle. Book excerpt: An up-close look at the theory behind and application of extremum seeking Originally developed as a method of adaptive control for hard-to-model systems, extremum seeking solves some of the same problems as today's neural network techniques, but in a more rigorous and practical way. Following the resurgence in popularity of extremum-seeking control in aerospace and automotive engineering, Real-Time Optimization by Extremum-Seeking Control presents the theoretical foundations and selected applications of this method of real-time optimization. Written by authorities in the field and pioneers in adaptive nonlinear control systems, this book presents both significant theoretic value and important practical potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control: * Develops optimization theory from the points of dynamic feedback and adaptation * Builds a solid bridge between the classical optimization theory and modern feedback and adaptation techniques * Provides a collection of useful tools for problems in this complex area * Presents numerous applications of this powerful methodology * Demonstrates the immense potential of this methodology for future theory development and applications Real-Time Optimization by Extremum-Seeking Control is an important resource for both students and professionals in all areas of engineering-electrical, mechanical, aerospace, chemical, biomedical-and is also a valuable reference for practicing control engineers.
Author : Veronica Aderonke Adetola
Release : 2008
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Integrated Real-time Optimization and Model Predictive Control Under Parametric Uncertainties by : Veronica Aderonke Adetola
Download or read book Integrated Real-time Optimization and Model Predictive Control Under Parametric Uncertainties written by Veronica Aderonke Adetola. This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt: The actualization of real-time economically optimal process operation requires proper integration of real-time optimization (RTO) and dynamic control. This dissertation addresses the integration problem and provides a formal design technique that properly integrates RTO and model predictive control (MPC) under parametric uncertainties. The task is posed as an adaptive extremum-seeking control (ESC) problem in which the controller is required to steer the system to an unknown setpoint that optimizes a user-specified objective function. The integration task is first solved for linear uncertain systems. Then a method of determining appropriate excitation conditions for nonlinear systems with uncertain reference setpoint is provided. Since the identification of the true cost surface is paramount to the success of the integration scheme, novel parameter estimation techniques with better convergence properties are developed. The estimation routine allows exact reconstruction of the system's unknown parameters in finite-time. The applicability of the identifier to improve upon the performance of existing adaptive controllers is demonstrated. Adaptive nonlinear model predictive controllers are developed for a class of constrained uncertain nonlinear systems. Rather than relying on the inherent robustness of nominal MPC, robustness features are incorporated in the MPC framework to account for the effect of the model uncertainty. The numerical complexity and/or the conservatism of the resulting adaptive controller reduces as more information becomes available and a better uncertainty description is obtained. Finally, the finite-time identification procedure and the adaptive MPC are combined to achieve the integration task. The proposed design solves the economic optimization and control problem at the same frequency. This eliminates the ensuing interval of "no-feedback" that occurs between economic optimization interval, thereby improving disturbance attenuation.
Author : Dominique Bonvin
Release : 2018-07-05
Genre : Electronic book
Kind : eBook
Book Rating : 48X/5 ( reviews)
Book Synopsis Real-Time Optimization by : Dominique Bonvin
Download or read book Real-Time Optimization written by Dominique Bonvin. This book was released on 2018-07-05. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Real-Time Optimization" that was published in Processes
Author : Matthias A. Müller
Release : 2014
Genre : Mathematics
Kind : eBook
Book Rating : 216/5 ( reviews)
Book Synopsis Distributed and economic model predictive control: beyond setpoint stabilization by : Matthias A. Müller
Download or read book Distributed and economic model predictive control: beyond setpoint stabilization written by Matthias A. Müller. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we study model predictive control (MPC) schemes for control tasks which go beyond the classical objective of setpoint stabilization. In particular, we consider two classes of such control problems, namely distributed MPC for cooperative control in networks of multiple interconnected systems, and economic MPC, where the main focus is on the optimization of some general performance criterion which is possibly related to the economics of a system. The contributions of this thesis are to analyze various systems theoretic properties occurring in these type of control problems, and to develop distributed and economic MPC schemes with certain desired (closed-loop) guarantees. To be more precise, in the field of distributed MPC we propose different algorithms which are suitable for general cooperative control tasks in networks of interacting systems. We show that the developed distributed MPC frameworks are such that the desired cooperative goal is achieved, while coupling constraints between the systems are satisfied. Furthermore, we discuss implementation and scalability issues for the derived algorithms, as well as the necessary communication requirements between the systems. In the field of economic MPC, the contributions of this thesis are threefold. Firstly, we analyze a crucial dissipativity condition, in particular its necessity for optimal steady-state operation of a system and its robustness with respect to parameter changes. Secondly, we develop economic MPC schemes which also take average constraints into account. Thirdly, we propose an economic MPC framework with self-tuning terminal cost and a generalized terminal constraint, and we show how self-tuning update rules for the terminal weight can be derived such that desirable closed-loop performance bounds can be established.
