Manish Tiwari

Comment on Robust guaranteed cost control for a class of two-dimensional discrete systems with shift-delays

This paper points out some technical errors in the derivation of main results in the above paper and present the results in corrected form.

An LMI Approach to Optimal Guaranteed Cost Control of Uncertain 2-D Discrete Shift-Delayed Systems via Memory State Feedback

This paper deals with the problem of optimal guaranteed cost control via memory state feedback for a class of two-dimensional (2-D) discrete shift-delayed systems in Fornasini–Marchesini (FM) second model with norm-bounded uncertainties. A new criterion for the existence of memory state feedback guaranteed cost controllers is derived, based on the linear matrix inequality (LMI) approach. Moreover, a convex optimization problem with LMI constraints is formulated to design the optimal guaranteed cost controllers which minimize the upper bound of the closed-loop cost function. Illustrative examples demonstrate the merit of the proposed method in the aspect of conservativeness over a previously reported result.

Robust Optimal \(H_\infty \) Control for 2-D Discrete Systems Using Asymmetric Lyapunov Matrix

This paper is concerned with the design of optimal

ASIC Implementation of Area-Efficient, High-Throughput 2-D IIR Filter Using Distributed Arithmetic

H_\infty

Optimal guaranteed cost control of uncertain 2-D discrete state-delayed systems described by the Roesser model via memory state feedback

H∞ static-state feedback controller for an uncertain 2-D discrete system described by the Fornasini–Marchesini second model. The parametric uncertainties are assumed to be norm bounded. The main contribution of the paper lies in the application of the bounded real lemma derived using a more generalized asymmetric Lyapunov matrix. Based on the derived bounded real lemma, a linear matrix inequality (LMI)-based sufficient condition for the existence of

High throughput adaptive block FIR filter using distributed arithmetic

H_\infty