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What is Multivariable Control Systems

Handbook of Research on Advanced Intelligent Control Engineering and Automation
The control of systems characterized by multiple inputs, which are usually referred to as the controls; or by multiple outputs, which are often the measured variables to be controlled; or by both multiple inputs and outputs. Automobiles, chemical processing plants, aerospace vehicles, biological systems, and the national economy are all examples of multivariable systems which require and receive some form of regulation or control, be it mathematically contrived or not.
Published in Chapter:
Discrete-Time Approximation of Multivariable Continuous-Time Delay Systems
Bemri H'mida (National Engineers School of Tunis BP 37, Tunisia), Mezlini Sahbi (National Engineers School of Tunis BP 37, Tunisia), and Soudani Dhaou (National Engineers School of Tunis BP 37, Tunisia)
DOI: 10.4018/978-1-4666-7248-2.ch019
Abstract
Many works are related to the analysis and control of either continuous or else discrete time-delay systems. In general, discrete-time controls have become more and more preferable in engineering because of their easy implementation and simple computation. However, the available discretization approaches for the systems having time delays increase the system dimensions and have a high computational cost. The case studies in this chapter support the efficiency of the two methods. However, the discretization of continuous time-delay systems has not been sufficiently/extensively studied in many works. In this work, the authors present two methods of the effective discretization approach for the continuous-time systems with an input and output delays. Sampled-data time-delay systems with internal and external point delays are described by approximate discrete time-delay systems in the discrete domain. These approximate discrete systems allow the hybrid control of time-delay systems.
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