Adaptive control refers to the control of systems that have poorly known parameters but a well modeled structure. The adaptive control of linear, time-invariant systems is well understood. However, for systems with multiple inputs and multiple outputs the adaptive controller is of high order and complex making the approach inapplicable in a number of practical problems. In this thesis a new app...

An MIMO auto-tuning method is develop that can be used by a layman of control. The method is based on MIMO identification and robust control design. The identification part delivers process model and model error bounds. The controller design block performs control synthesis, simulation and robust analysis. All steps can be done automatically. The parameters the user needs to enter are minimal a...

Let M be a complex matrix of rank one, i.e. M = pq′ where p, q are complex nby-1 matrices and ′ denotes Hermitean conjugation. Let μC(M) and μR(M) denote the structured singular values μ(M,∆) of M defined with ∆ = ∆C and ∆ = ∆R respectively, where ∆C is the cone of all diagonal matrices with complex entries, and ∆R is the cone of all diagonal matrices with real entries. (a) Express μC(M) and μR...

The contribution is focused on a control design and simulation of multi input output (MIMO) linear continuous-time systems. Suitable and efficient tools for description and controller derivation are algebraic notions as rings, polynomial matrices, and Diophantine equations. The generalized MIMO PI controller design is studied for stable and unstable systems. A unified approach through matrix Di...

The set of all optimal controllers which maximize a robust stability radius for unstructured additive perturbations may be obtained using standard Hankel-norm approximation methods. These controllers guarantee robust stability for all perturbations which lie inside an open ball in the uncertainty space (say, of radius r1). Necessary and sufficient conditions are obtained for a perturbation lyin...

Most processes in industry are complex mul-tivariable systems with nonlinear and time-varying dynamics. These processes are often diicult to model. However, often much expert knowledge and process data is available. Fuzzy modeling and control techniques can eeciently integrate this information. However, most of the systems considered in literature are of low-order and SISO or MISO systems. For ...

The text is designed for use in a 40 lecture introductory course covering linear algebra, multivariable differential calculus, and an introduction to real analysis. The core material of the book is arranged to allow for the main introductory material on linear algebra, including basic vector space theory in Euclidean space and the initial theory of matrices and linear systems, to be covered in ...

The goal of Advanced Life Support Systems (ALSS) is to provide self-sufficiency in life support for productive research and exploration in space. Important in reaching this goal is the production of crop plants in one or more controlled environments for the purpose of providing life essential food, air, and water to a human crew. To do this reliably and efficiently, it is necessary to achieve c...