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Dynamic Surface Control of Uncertain Nonlinear Systems
Although the problem of nonlinear controller design is as old as that of linear controller design, the systematic design methods framed in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant importance. Dynamic Surface Control of Uncertain Nonlinear Systems provides a theoretically rigorous and practical introduction to nonlinear control design. The convex optimization approach applied to good effect in linear systems is extended to the nonlinear case using the new dynamic surface control (DSC) algorithm developed by the authors. A variety of problems – DSC design, output feedback, input saturat...
Mechanics for a New Millennium
This volume contains the proceedings of the 2000 International Congress of Theoretical and Applied Mechanics. The book captures a snapshot view of the state of the art in the field of mechanics and will be invaluable to engineers and scientists from a variety of disciplines.
Energy, Simulation-training, Ocean Engineering, and Instrumentation
This volume contains research papers reporting on the results of the Link Foundation Fellows in Energy, Simulation Training, and Ocean Engineering and Instrumentation. The work covers a wide variety of research topics carried out at leading universities and colleges. Brian J. Thompson is Provost Emeritus of the University of Rochester.
The National Highway Traffic Safety Administration's Rating System for Rollover Resistance
Explains that the static stability factor is an indicator of a vehicle's propensity to roll over, and that US government ratings for vehicles do not reflect differences in rollover resistance. This report states that the 5-star system should allow discrimination among vehicles and incorporate results from road tests that measure vehicle control.
Recent Advances In Simulated Evolution And Learning
Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences
Automated Cars Prophesied by William Branham
Since the beginning of times man always had a deep longing to know the future. As God forbids fortune telling, he nevertheless sends prophets to prepare his people. One of the prophets in the twentieth century was a Pentecostal Pastor called William Branham. In 1933 he received seven prophetic visions on end time events. In the fourth vision he saw cars running automatically on American highways. Cars had no steering wheel and the front passengers were turned backwards playing some kind of game. The roof was completely transparent and cars were egg shaped. This prophecy is now in the process of being fulfilled. In 1997 a dozen of cars moved automatically on a Californian highway. The technol...
Cooperative Systems
Because of the clearly important role cooperative systems play in areas such as military sciences, biology, communications, robotics, and economics, just to name a few, the study of cooperative systems has intensified. This book provides an insight in the basic understanding of cooperative systems as well as in theory, modeling, and applications of cooperative control, optimization and related problems.
Theory And Algorithms For Cooperative Systems
Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve — while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the Fourth Annual Conference on Cooperative Control and Optimization held in Destin, Florida, November 2003.This book has been selected for coverage in:• Index to Scientific & Technical Proceedings® (ISTP® / ISI Proceedings)• Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)• CC Proceedings — Engineering & Physical Sciences
