Model predictive control (MPC) has a long history in the field of control en- gineering. It is one of the few areas that has received on-going interest from researchers in both the industrial and academic communities. Four major as- pects of model pr
A Linear Matrix Inequality Approach 1 INTRODUCTION 1 1.1 A Control Engineering Approach to Fuzzy Control/1 1.2 Outline of This Book/2 2 TAKAGI-SUGENO FUZZY MODEL AND PARALLEL DISTRIBUTED COMPENSATION 5 2.1 Takagi-Sugeno Fuzzy Model/6 2.2 Constructio
In this paper, a new design and tuning procedure for a PID plus feedforward controller is proposed. It consists of determining a feedforward signal in order to achieve a predefined process output transition time assuming a first order plus dead time
This article highlights the attributes of destination control with regard to the resulting traffic performance and, in the absence of a traffic-simulation program, offers a shortcut method that allows assessment of the up-peak traffic performance us
An adaptive fuzzy sliding mode control algorithm is proposed for a class of continuous time unknown nonlinear systems. In contrast to the existing sliding mode control (SMC) design, where the presence of hitting control may introduce problems to con
Chapter 1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 Chapter 2 2.2 2.4 2.5 2.6 2.7 2.8 xiii as an Example.………………………………... … The Karnaugh MAP Method of Optimization 1.5.1 FPGA Based Design: Video Compression Introduction to Digital VLSI Systems Design……… Twos C
Foreword Author's Biographical Information Part A—General Theory Chapter 1—Learning Algorithms for Neuro-Fuzzy Networks 1 Introduction 2 Neuro-Fuzzy Networks 2.1 The Conventional Fuzzy Model 2.2 From Fuzzy to Neuro-Fuzzy 2.3 Initialization 2.4 Train
A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individua
Recent years have seen a rapid development of intelligent control techniques and their successful applications. Numerous theoretical studies and actual industrial implementations demonstrate that artificial intelligent control is a good candidate fo
"Principles of Flight Simulation" is a comprehensive guide to flight simulator design, covering the modelling, algorithms and software which underpin flight simulation. The book covers the mathematical modelling and software which underpin flight si
