1. Linear Multivariable Systems 1.1. Emergence of State Space Approach 1.2. Discrete-time Control 1.3. Riccati Equation and Stabilization for Continuous-time Systems 1.4. Design Procedure 1.5. Static Output Feedback and Dynamic Compensation 1.6. Servo Control and Internal Model Principle 1.7. Design and Analysis based on Frequency Response 1.8. Control System Example 2. Control System Example 2...

The situation and trends in the application of fuzzy logic to control multi-input/multi-output (MIMO) systems are analyzed. The basic steps in designing a control system are considered. Fuzzy control applications are either knowledge-based or model-based. In model-based approaches, the first step is process modeling: Usually, interpolation and universal approximation are the two main features t...

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...

Modular multilevel converters (MMCs) have enabled new and demanding applications for power electronics in the high voltage/high range. In these applications, very fast tight control of all variables MMC is prime importance. This article presents a multivariable (MVC) concept, which enables independent extremely essential variables. For each variable, tolerance band can be specified, strictly me...

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...