Evolving rule-based models. A tool for design of flexible adaptive systems. (Q1874032)

The book is a monograph of a recent research trend, presenting original solutions to the problem of updating models that inherit useful information from their history. Such systems are able to adapt to external or internal changes, renovating both their structure and parameters on-line. The theoretical concepts and principles are illustrated by relevant examples so as to facilitate a deep understanding of the discussed topics. The book is highly recommended to researchers, engineers and software designers working in the fields of artificial intelligence, systems and control. The material can also be used for graduate courses on intelligent systems. The text contains 11 chapters organized in three parts, as follows: 1. Introduction, Part I: System Modeling: Basic Principles (2. Conventional models, 3. Flexible models), Part II: Flexible Models Identification (4. Nonlinear approach to off-line identification of flexible models, 5. Quasilinear approach to FRB models off-line identification, 6. Intelligent and smart adaptive systems, 7. On-line identification of flexible TSK-type models), Part III: Engineering Applications (8. Modelling indoor climate control systems, 9. On-line modelling of fermentation processes, 10. Intelligent risk assessment), 11. Conclusions.