By Magdi S. Mahmoud
In contemporary years, keep an eye on platforms became extra refined to be able to meet elevated functionality and security standards for contemporary technological platforms. Engineers have gotten extra acutely aware that traditional suggestions keep watch over layout for a posh approach may end up in unsatisfactory functionality, or perhaps instability, within the occasion of malfunctions in actuators, sensors or different approach elements. so as to steer clear of such weaknesses, new methods to manage process layout have emerged that could tolerate part malfunctions whereas holding applicable balance and function. a lot of these keep an eye on structures are usually referred to as fault-tolerant keep watch over platforms (FTCS). extra accurately, FTCS are keep watch over structures which own the power to house part failure automatically.
Analysis and Synthesis of Fault-Tolerant keep watch over Systems comprehensively covers the research and synthesis tools of fault tolerant regulate structures. It unifies the equipment for constructing controllers and filters for a large category of dynamical structures and studies at the contemporary technical advances in layout methodologies. MATLAB® is used through the e-book, to illustrate tools of study and design.
• offers complicated theoretical tools and regular useful applications
• offers entry to a spectrum of keep watch over layout tools utilized to commercial systems
• comprises case reviews and illustrative examples
• comprises end-of-chapter problems
Analysis and Synthesis of Fault-Tolerant keep an eye on Systems is a entire reference for researchers and practitioners operating during this sector, and is usually a worthwhile resource of knowledge for graduates and senior undergraduates up to speed, mechanical, aerospace, electric and mechatronics engineering departments.
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Additional info for Analysis and synthesis of fault-tolerant control systems
Aerospace Engineering, 219:263–275. , and Zhang, Y. M. (2003) Active Fault Tolerant Control Systems: Stochastic Analysis and Synthesis, Lecture Notes in Control and Information Sciences, 287, Berlin, Germany: Springer.  Ding, S. X. (2008) Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools, Berlin, Heidelberg: Springer.  Isermann, R. (2006) Fault-Diagnosis Systems, Springer, UK. , and Balle, P. (1997) “Trends in the application of model-based fault detection and diagnosis of technical processes”, Control Eng.
Modelfree techniques, such as neural networks, fuzzy logic and genetic algorithms, are used to develop models for FDI techniques. These models can not only represent a wide class of nonlinear systems with arbitrary accuracy, they can also be trained from data. Among these techniques, neural networks are well recognized for their ability to approximate nonlinear functions and for their learning ability . For these reasons, they have been used as models to generate residuals for fault detection [16, 17, 18, 19, 20].
S. (2002) “Performance gain margins of the two-stage LQ reliable control”, Automatica, 38:1985– 1990. , and Zhao, Q. (2000) “Design of reliable control systems possessing actuator redundancies”, J. Guidance, Control, and Dynamics, 23(4):709–718.  Stengel, R. F. (1991) “Intelligent failure-tolerant control”, IEEE Control Systems Magazine, 11(4):14–23. 1 Introduction Failures can be classified as sudden or incipient. Sudden failures are often the simplest form to diagnose since they usually have a dramatic impact on performance, which can be detected at a number of downstream sensors.
Analysis and synthesis of fault-tolerant control systems by Magdi S. Mahmoud