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Advances in Control contains keynote contributions and tutorial
material from the fifth European Control Conference, held in
Germany in September 1999. The topics covered are of particular
relevance to all academics and practitioners in the field of modern
control engineering. These include:
- Modern Control Theory
- Fault Tolerant Control Systems
- Linear Descriptor Systems
- Generic Robust Control Design
- Verification of Hybrid Systems
- New Industrial Perspectives
- Nonlinear System Identification
- Multi-Modal Telepresence Systems
- Advanced Strategies for Process Control
- Nonlinear Predictive Control
- Logic Controllers of Continuous Plants
- Two-dimensional Linear Systems.
This important collection of work is introduced by Professor P.M.
Frank who has almost forty years of experience in the field of
automatic control. State-of-the-art research, expert opinions and
future developments in control theory and its industrial
applications, combine to make this an essential volume for all
those involved in control engineering.
Since the time our first book Fault Diagnosis in Dynamic Systems:
The ory and Applications was published in 1989 by Prentice Hall,
there has been a surge in interest in research and applications
into reliable methods for diag nosing faults in complex systems.
The first book sold more than 1,200 copies and has become the main
text in fault diagnosis for dynamic systems. This book will follow
on this excellent record by focusing on some of the advances in
this subject, by introducing new concepts in research and new
application topics. The work cannot provide an exhaustive
discussion of all the recent research in fault diagnosis for
dynamic systems, but nevertheless serves to sample some of the
major issues. It has been valuable once again to have the
co-operation of experts throughout the world working in industry,
gov emment establishments and academic institutions in writing the
individual chapters. Sometimes dynamical systems have associated
numerical models available in state space or in frequency domain
format. When model infor mation is available, the quantitative
model-based approach to fault diagnosis can be taken, using the
mathematical model to generate analytically redun dant alternatives
to the measured signals. When this approach is used, it becomes
important to try to understand the limitations of the mathematical
models i. e., the extent to which model parameter variations occur
and the effect of changing the systems point of operation."
There is an increasing demand for dynamic systems to become safer, more reliable and more economical in operation. This requirement extends beyond the normally accepted safety-critical systems e.g., nuclear reactors, aircraft and many chemical processes, to systems such as autonomous vehicles and some process control systems where the system availability is vital. The field of fault diagnosis for dynamic systems (including fault detection and isolation) has become an important topic of research. Many applications of qualitative and quantitative modelling, statistical processing and neural networks are now being planned and developed in complex engineering systems. Issues of Fault Diagnosis for Dynamic Systems has been prepared by experts in fault detection and isolation (FDI) and fault diagnosis with wide ranging experience.Subjects featured include: - Real plant application studies; - Non-linear observer methods; - Robust approaches to FDI; - The use of parity equations; - Statistical process monitoring; - Qualitative modelling for diagnosis; - Parameter estimation approaches to FDI; - Fault diagnosis for descriptor systems; - FDI in inertial navigation; - Stuctured approaches to FDI; - Change detection methods; - Bio-medical studies. Researchers and industrial experts will appreciate the combination of practical issues and mathematical theory with many examples. Control engineers will profit from the application studies.
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