A novel method for reducing the order of discrete time systems is developed. This model reduction technique based on Continued Fraction approach allows design parameters to be preserved. A reduced order model obtained using this technique is compared with those by other techniques to show its superiority. Furthermore, form a practical point of view, it is shown that this method can be used to design lower order digital controllers for higher order plants. Development of various model reduction techniques for continuous and discrete time systems are discussed in details and computer programs are implemented. A modified algorithm that reduces the computational complexities for model reduction of both continuous and discrete time systems is also developed. This technique is attractive because of its computational simplicity and ability to preserve system characteristics.
Library of Congress Subject Headings
System analysis; Linear time invariant systems; Discrete-time systems
Department, Program, or Center
Electrical Engineering (KGCOE)
Gupta, Amit, "Model reduction and simulation of complex dynamic systems" (1990). Thesis. Rochester Institute of Technology. Accessed from
RIT – Main Campus