Robust Nonlinear Control Design Via Convex Optimization And Its Application To Fault Tolerant Longitudinal Control Of Vehicles

Robust Nonlinear Control Design Via Convex Optimization and Its Application to Fault Tolerant Longitudinal Control of Vehicles

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 saturation and fault-tolerant control among them – are considered. The inclusion of applications material demonstrates the real significance of the DSC algorithm, which is robust and easy to use, for nonlinear systems with uncertainty in automotive and robotics. Written for the researcher and graduate student of nonlinear control theory, this book will provide the applied mathematician and engineer alike with a set of powerful tools for nonlinear control design. It will also be of interest to practitioners working with a mechatronic systems in aerospace, manufacturing and automotive and robotics, milieux.

Pneumatic Drives

The idea to use air for transmitting power is very old. Ctesibius in - cient Greece described a catapult using pneumatic cylinders to first store energy and then rapidly accelerate an arrow. Heron of Alexandria dev- oped automatic temple doors which opened and closed by means of hot air. And from the Greek word for breath he coined the term that was used as title for his book and today describes a whole industry: - pneumatics. Pneumatic components and systems have become an important topic for textbooks. Most have their focus on the description of the steady-state - haviour, practical problems like troubleshooting or Boolean algebra to help designing control algorithms. Only a few textbooks covering the theore- cal analysis and design of pneumatic systems have been published (Z- manzon et al. 1965; Andersen 1967; Andersson et al. 1975). But they were written at a time when digital computers were not easily available to en- neers and therefore contain few material about modelling and simulation. This book tries to bridge the gap between scientific disciplines (fluid mechanics, thermodynamics, mathematics, control, etc.), the conventional approach to describe pneumatic components and systems by their stea- state behaviour, the wish of a design engineer to test his design before - tually building hardware and the resulting need for mathematical models in order to use today’s powerful digital computers.