Abstract
This book proposes novel observer-based methods to diagnose faults for a class of nonlinear systems. The nonlinear systems are assumed to be Lipschitz about the state uniformly and contaminated by modeling discrepancies and external disturbances, which are lumped as additive system uncertainties. Detection, isolation, and estimation of actuator and sensor faults are three main topics which have been studied.
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References
Chae S, Nguang SK (2013) SOS based robust fuzzy dynamic output feedback control of nonlinear networked control systems. IEEE Trans Cybern 44:1204–1213
Saat S, Nguang SK (2015) Nonlinear \({H}_{\infty }\) output feedback control with integrator for polynomial discrete time systems. Int J Robust Nonlinear Control 25:1051–1065
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© 2016 Springer International Publishing Switzerland
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Zhang, J., Swain, A.K., Nguang, S.K. (2016). Conclusions and Future Work. In: Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-32324-4_9
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DOI: https://doi.org/10.1007/978-3-319-32324-4_9
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-32323-7
Online ISBN: 978-3-319-32324-4
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