Discrete‐time decentralized linear quadratic control for linear time‐varying systems

2021 ◽  
Author(s):  
Leonardo Pedroso ◽  
Pedro Batista
Keyword(s):  
Discrete Time ◽  
Linear Time ◽  
Time Varying ◽  
Linear Quadratic Control ◽  
Linear Quadratic ◽  
Time Varying Systems

scholarly journals The VIT Transform Approach to Discrete-Time Signals and Linear Time-Varying Systems

Eng ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 99-125
Author(s):  
Edward W. Kamen
Keyword(s):  
Discrete Time ◽  
Initial Conditions ◽  
Linear Time ◽  
Order Term ◽  
Initial Time ◽  
Time Varying ◽  
Varying Coefficients ◽  
Time Signals ◽  
Time Varying Systems ◽  
Time Varying Coefficients

A transform approach based on a variable initial time (VIT) formulation is developed for discrete-time signals and linear time-varying discrete-time systems or digital filters. The VIT transform is a formal power series in z−1, which converts functions given by linear time-varying difference equations into left polynomial fractions with variable coefficients, and with initial conditions incorporated into the framework. It is shown that the transform satisfies a number of properties that are analogous to those of the ordinary z-transform, and that it is possible to do scaling of z−i by time functions, which results in left-fraction forms for the transform of a large class of functions including sinusoids with general time-varying amplitudes and frequencies. Using the extended right Euclidean algorithm in a skew polynomial ring with time-varying coefficients, it is shown that a sum of left polynomial fractions can be written as a single fraction, which results in linear time-varying recursions for the inverse transform of the combined fraction. The extraction of a first-order term from a given polynomial fraction is carried out in terms of the evaluation of zi at time functions. In the application to linear time-varying systems, it is proved that the VIT transform of the system output is equal to the product of the VIT transform of the input and the VIT transform of the unit-pulse response function. For systems given by a time-varying moving average or an autoregressive model, the transform framework is used to determine the steady-state output response resulting from various signal inputs such as the step and cosine functions.

Commutativity of cascade connected discrete-time linear time-varying systems

2014 ◽  
Vol 37 (5) ◽  
pp. 615-622 ◽  
Author(s):  
Muhammet Koksal ◽  
Mehmet Emir Koksal
Keyword(s):  
Discrete Time ◽  
Linear Time ◽  
Time Varying ◽  
Time Varying Systems ◽  
Time Linear

Discrete Time-Frequency Characterizations of Dispersive Linear Time-Varying Systems

2007 ◽  
Vol 55 (5) ◽  
pp. 2066-2076 ◽  
Author(s):  
Ye Jiang ◽  
Antonia Papandreou-Suppappola
Keyword(s):  
Discrete Time ◽  
Linear Time ◽  
Time Varying ◽  
Time Frequency ◽  
Time Varying Systems

A discrete-time iterative learning algorithm for linear time-varying systems

2003 ◽  
Vol 16 (3) ◽  
pp. 185-190 ◽  
Author(s):  
K.K. Tan ◽  
S.N. Huang ◽  
T.H. Lee ◽  
S.Y. Lim
Keyword(s):  
Discrete Time ◽  
Learning Algorithm ◽  
Linear Time ◽  
Iterative Learning ◽  
Time Varying ◽  
Time Varying Systems
Sign in / Sign up

Export Citation Format

Share Document