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Semi-active Suspension Control provides an overview of vehicle ride control employing smart semi-active damping systems. These systems are able to tune the amount of damping in response to measured vehicle-ride and handling indicators. Two physically different dampers (magnetorheological and controlled-friction) are analysed from the perspectives of mechatronics and control. Ride comfort, road holding, road damage and human-body modelling are studied. Mathematical modelling is balanced by a large and detailed section on experimental implementation, where a variety of automotive applications are described offering a well-rounded view. The implementation of control algorithms with regard to real-life engineering constraints is emphasised. The applications described include semi-active suspensions for a saloon car, seat suspensions for vehicles not equipped with a primary suspension, and control of heavy-vehicle dynamic-tyre loads to reduce road damage and improve handling.
The conventional wisdom was that biology influenced mathematics and computer science. But a new approach has taken hold: that of transferring methods and tools from computer science to biology. The reverse trend is evident in Grammars and Automata for String Processing: From Mathematics and Computer Science to Biology and Back. The contributors address the structural (syntactical) view of the domain. Mathematical linguistics and computer science can offer various tools for modeling complex macromolecules and for analyzing and simulating biological issues. This collection is valuable for students and researchers in biology, computer science, and applied mathematics.
Annotation Takes account of the new concept in artificial intelligence called soft computing, in which the similarities among the various methods for building intelligent information systems make them alternative choices for a particular application, yet their differences also make them potential complements to be used together in a single system. The 19 invited and 77 session papers cover neural networks, fuzzy logic systems, genetic algorithms and evolutionary programming, expert systems, machine learning, hybrid systems, and applications. No subject index. Annotation copyright by Book News, Inc., Portland, OR.
This book constitutes the refereed proceedings of the International Conference on Computational Intelligence held in Dortmund, Germany, as the 5th Fuzzy Days, in April 1997. Besides three invited contributions, the book presents 53 revised full papers selected from a total of 130 submissions. Also included are 35 posters documenting a broad scope of applications of computational intelligence techniques in a variety of areas. The volume addresses all current issues in computational intelligence, e.g. fuzzy logic, fuzzy control, neural networks, evolutionary algorithms, genetic programming, neuro-fuzzy systems, adaptation and learning, machine learning, etc.
Hybrid Intelligent Systems has become an important research topic in computer science and a key application field in science and engineering. This book offers a gentle introduction to the engineering aspects of hybrid intelligent systems, also emphasizing the interrelation with the main intelligent technologies such as genetic algorithms – evolutionary computation, neural networks, fuzzy systems, evolvable hardware, DNA computing, artificial immune systems. A unitary whole of theory and application, the book provides readers with the fundamentals, background information, and practical methods for building a hybrid intelligent system. It treats a panoply of applications, including many in i...
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Lucrarea de doctorat prezintă un studiu comparativ al comenzii în curent - frecvență variabilă cu impunerea indirectă fuxului statoric, folosind un regulator PID cu parametrii constanți și un regulator fuzzy. Comparația s-a făcut folosind simulări numerice în regim static, dinamic cât și la variația momentului inerțial. De asemenea se prezintă și studiul comparativ între folosirea unui regulator PID cu parametrii constanți și un regulator fuzzy pentru comanda în tensiune - frecvență variabilă cu impunerea indirectă fuxului rotoric cu prezentarea rezultatele simulărilor numerice în regim staționar și dinamic. Simulările numerice continuă cu prezentarea rezultatelor în regim staționar și dinamic în cazul comenzii motorului asincron cu orientare după fuxul rotoric folosind două regulatoare fuzzy independente.