Numerical linear algebra techniques for large scale matrix problems in systems and control

During the last few decades linear algebra has played an important role in advances being made in the area of systems and control. The most profound impact has been in the computational and implementational aspects, where numerical linear algebraic algorithms have strongly influenced the ways in which problems are being solved. The advent of special computing architectures such as vector processors and distributed processor arrays has also emphasized parallel and realtime processing of basic linear algebra modules for this application area. This paper discusses a number of numerical linear algebra techniques for large scale problems in systems and control. We focus on "special matrix"-problems, i.e. matrices which are either sparse, patterned or structured

Control of a class of nonlinear systems with general constraints

The problem of steering the state of a nonlinear system from the origin to a desired final state, while observing state and control constraints along the whole trajectory, is examined. An iterative procedure that allows computation of the steering admissible control function is given.Anglai