This paper deals with the control of linear systems with delays and constrained input.
An auxiliary system based on a smooth hyperbolic function and a Nussbaum function is designed to satisfy the constrained input.
We refer to this problem as the minimum constrained input selection (minCIS) problem, since the selection has to be performed on an initial given set of possible inputs.
In the previous subsection, we introduced a small number of intuitively reasonable strategies for eliciting the maximum number of spikes from model (2), (3) using a constrained input.
In practical terms, this amounts to finding the (constrained) input signal that minimizes a measure of a control-oriented model uncertainty set.
Constrained input control strategy is based on the observation that the chemical reactor operates at an unique stationary temperature when the lower or upper bound of the input variable is imposed.
Using a space-time code-constrained input design, our approach exploits the orthogonality of the signal and noise subspaces in conjunction with orthogonal procrustes (OP) technique to obtain an accurate estimate of the unitary rotation matrix and, consequently, of the channel parameters.
Nevertheless, these methods are necessarily constrained: input sequences need to be the same length and only select SVM kernels are supported.
It constrains inputs and outputs but not the meaning of concepts.
Moreover, for a class of nonlinear systems, constrained input-to-state stabilizability implies the solvability of an inverse optimal problem.
