O.I. Omoifo

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Due to the presence of constraints on the design variables of most optimization problems, constrained optimization techniques are generally preferred to unconstrained optimization techniques in filter design. However, in the design of recursive digital filters by constrained optimization techniques, owing to the stability conditions imposed on the design,(More)
The minimization problem of a frequency-weighted l<sub>2</sub> -sensitivity measure subject to l<sub>2</sub> -scaling constraints for multi- input/multi-output (MIMO) linear discrete-time systems is formulated. An iterative technique is developed to solve the constrained optimization problem directly. The proposed solution method largely relies on the use(More)
This paper investigates the problem of frequency-weighted l<sub>2</sub>-sensitivity minimization subject to l<sub>2</sub>-scaling constraints for two-dimensional (2-D) state-space digital filters described by the Roesser model. It is shown that the Fornasini-Marchesini second model can be imbedded in the Roesser model. Two iterative methods are developed to(More)
The problem of minimizing an L<sub>2</sub>-sensitivity measure subject to L<sub>2</sub>-norm dynamic-range scaling constraints for three-dimensional (3-D) separable-denominator digital filters is formulated. The constrained optimization problem is converted into an unconstrained optimization problem by using linear-algebraic techniques. Next, an efficient(More)
The minimization problem of frequency-weighted l<sub>2</sub>-sensitivity subject to l<sub>2</sub>-scaling constraints is formulated for two-dimensional (2-D) state-space digital filters described by the Roesser model. It is shown that the Fornasini-Marchesini second model can be readily imbedded in the Roesser model. An iterative method is developed to(More)
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