Anderson Corollary Based on New Approximation Method for Continuous Interval Systems

• Main Authors: Jagadish Kumar Bokam, Vinay Pratap Singh, Sharada Nandan Raw, Ramesh Devarapalli, Fausto Pedro Garcia Marquez
• Format: Article
• Language: English
• Published: IEEE 2021-01-01
• Series: IEEE Access
• Subjects: Interval systems; Kharitonov polynomials; Markov parameter; time moments; modelling; Routh approximation
• Online Access: https://ieeexplore.ieee.org/document/9366475/

In this research, a new technique is developed for reducing the order of high-order continuous interval systems. The model denominator is derived using Anderson corollary and Routh table. Numerator is derived by matching the formulated Markov parameters (MPs) and time moments (TMs). Distinctive features of the proposed approach are: (i) New and simpler expressions for MPs and TMs; (ii) Retaining not only TMs but also MPs while deriving the model; (iii) Minimizing computational complexity while preserving the essential characteristics of system; (iv) Ensuring to produce a stable model for stable system; (v) No need to invert the system transfer function denominator while obtaining the TMs and MPs; and (vi) No need to solve a set of complex interval equations while deriving the model. Two single-input-single-output test cases are considered to illustrate the proposed technique. Comparative analysis is also presented based on the results obtained. The simplicity and effectiveness of the proposed technique are established from the simulation outcomes achieved.