Order Reduction Of Uncertain Systems Using The Advantages Of Two Varied Approximations

• Published in: Michael Faraday IET International Summit 2015 p. 9
• Main Authors: Choudhary, A.K, Nagar, S.K
• Format: Conference Proceeding
• Language: English
• Published: Stevenage, UK IET 2015; The Institution of Engineering & Technology
• Subjects: Control system analysis and synthesis methods; Interpolation and function approximation (numerical analysis); Mathematical models; Model reduction; Parameter uncertainty; Reduced order models; Simulation, modelling and identification; System effectiveness; Transfer functions; order reduction; transfer function; physical system; approximation theory; reduced order model; uncertain systems; bounded parameters; reduced order systems; transfer functions; numerical approximation
• ISBN: 9781785611865; 1785611860
• DOI: 10.1049/cp.2015.1605

Transfer function of higher orders from physical system makes the overall study and analysis uneasy demanding an approximate model that preserves the basic characteristics of the original model. Also, rigorous study and analysis of physical system lead to the outcome of systems with uncertainty instead of certain coefficients. Thus, systems having uncertain but bounded parameters known as uncertain systems are under consideration in this paper. As a whole, an effective algorithm to determine the reduced order model is proposed here. This methodology is verified using numerical examples available from the literatures and compared with other method.