State-Space Modelling and Analysis
For control engineers and researchers, this provides a foundational overview of state-space methods, but it is largely introductory and lacks novel results or concrete performance numbers.
This paper introduces state-space modelling and analysis as a fundamental aspect of advanced control theory for practical applications, emphasizing its mathematical foundation and practical relevance.
Control science is a core representative of the third industrial revolution and is so important to modern civilization. Control systems are the main subject of control science and may involve many aspects of consideration, such as hardware consideration, software consideration, operation consideration, maintenance consideration, economy consideration, society consideration. However, besides all such aspects of consideration, one aspect that is most essential to the control system is methodology consideration in mathematical sense, knowledge on which is what we refer to as control theory. Besides its importance from the mathematical perspective, control theory is even more charming as it is deeply rooted in practical applications. Charms of control theory consist in both know-why and know-how and it is the fusion of control theory and practical applications that highlights such charms. Control theory for practical applications, especially when somewhat with so-called ``advanced'' flavour, involves several fundamental aspects. This article introduces the State-Space Modelling and Analysis aspect of Advanced Control Theory for Practical Applications [1,2].