Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the enormous success of the Human Genome Project has
Product Descr iption Our first knowledge of differential geometry usually comes from the study of the curves and surfaces in $I\!\!R^3$ that arise in calculus. Here we learn about line and surface integrals, divergence and curl, and the various form
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
Robustness of control systems to disturbances and uncertainties has always been the central issue in feedback control. Feedback would not be needed for most control systems if there were no disturbances and uncertainties. Developing multivariable ro
The third and final group of chapters − 9to14 − tackles the Model Predictive Control approach to dead-time compensation. These chapters range from the fundamentals of GPC and DMC in Chapter 9, through to approaches to multivariable systems in Chapter
Chapter 1—Preliminaries 1.1. Computational Intelligence: its inception and research agenda 1.2. Organization and readership 1.3. References Chapter 2—Neural Networks and Neurocomputing 2.1. Introduction 2.2. Generic models of computational neurons 2
We present a unified framework for the study of linear time-invariant (LTI) systems subject to control input nonlinearities. The framework is based on the following two-step design paradigm: UDesign the linear controller ignoring control input nonli
Xnumbers is an Excel addin (xla) that performs multi-precision floating point arithmetic from 1 up to 250 significant digits. It is compatible with Excel XP and consists of a set of more than 270 functions/macros for arithmetic, complex , trigonomet
