Mathematical Modeling and Simulation in Automatic Control

Dear Colleagues,

Today, automatic control is fully involved in our daily life and is an area of engineering that highly involves mathematics. In general, the design procedures of control systems are based on the mathematical models of the systems these were designed to control. These mathematical models, described using linear or nonlinear differential equations, are obtained by analyzing the systems' natural behavior, e.g., physics, chemistry, or biology, or by implementing system identification techniques. Mathematical models are mainly used to simulate and analyze the system's dynamic behavior, perform cause–effect tests, evaluate linear or nonlinear control algorithms, and predict dynamics, among other applications. With the increase in these applications and the high degree of automation technology integration, simulation has become an important role in automatic control system design. New modeling, simulation, and control techniques are needed to meet the challenges of automatic control. It remains an important and challenging problem to be solved in a theoretical and practical way. In this context, we invite the submission of high-quality novel contributions related to mathematical modeling and the simulation of complex dynamical systems, development of new control algorithms, new mathematical tools applied to control systems, and real-time applications of control systems.

Topics of interest include, but are not limited to, the following: mathematical modeling of dynamical systems; linear parameter-varying systems; developing theories in linear control, nonlinear control, or fault-tolerant control; system identification of complex systems, simulation, and control of complex systems; controllers' tunning methods based on metaheuristic algorithms. Contributions of both theoretical and practical research are welcome.

Prof. Dr. Felipe D.J. Sorcia-Vázquez
Prof. Dr. Jesse Yoe Rumbo-Morales
Prof. Dr. Gerardo Ortiz-Torres
Guest Editors

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