This booklet introduces a number of observer-based equipment, including:
• the sliding-mode observer
• the adaptive observer
• the unknown-input observer and
• the descriptor observer method
for the matter of fault detection, isolation and estimation, permitting readers to match and distinction the several ways. The authors current easy fabric on Lyapunov balance thought, H¥ keep an eye on thought, sliding-mode keep an eye on thought and linear matrix inequality difficulties in a self-contained and step by step demeanour. exact and rigorous mathematical proofs are supplied for the entire effects constructed within the textual content in order that readers can fast achieve an excellent realizing of the fabric. MATLAB® and Simulink® codes for the entire examples, which are downloaded from http://extras.springer.com, let scholars to stick with the equipment and illustrative examples simply. The structures utilized in the examples make the booklet hugely proper to real-world difficulties in business keep an eye on engineering and contain a seventh-order plane version, a single-link versatile joint robotic arm and a satellite tv for pc controller. to aid readers speedy locate the data they wish and to enhance clarity, the person chapters are written in an effort to be semi-independent of every other.
Robust Oberserver-Based Fault prognosis for Nonlinear platforms utilizing MATLAB® is of curiosity to strategy, aerospace, robotics and keep watch over engineers, engineering scholars and researchers with a keep an eye on engineering background.
Read or Download Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® (Advances in Industrial Control) PDF
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