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Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. Optimal Control of Hybrid Vehicles will appeal to academic researchers and graduate students interested in hybrid vehicle control or in the applications of optimal control.
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.
The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form... Læs mere
Ordinary Differential Equations
or of being dealt a flush in a poker hand?As our understanding of numbers continues to evolve, this book invites us to rediscover the mystery and beauty of numbers and reminds us that the story of numbers is a tale with a long way to run...
It allows the process of control design to be viewed as a power flow control problem, balancing the power flowing into a system against that being dissipated within it and dependent on the power being stored in it – an interplay between kinetic and potential energies.
Unmanned Rotorcraft Systems explores the research and development of fully-functional miniature UAV (unmanned aerial vehicle) rotorcraft, and provides a complete treatment of the design of autonomous miniature rotorcraft UAVs.
Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent... Læs mere
This modern presentation comprehensively addresses the principal issues in modern instrumentation, but without attempting an encyclopaedic reference.... Læs mere