The present study provides a generalization of event-based control to the field of fractional calculus, combining the benefits brought by the two approaches into an industrial-suitable control strategy. During recent years, control applications based on fractional order differintegral operators have gained more popularity due to their proven superior performance when compared to classical, integer order, control strategies. However, the current industrial setting is not yet prepared to fully adapt to complex fractional order control implementations that require hefty computational resources; needing highly-efficient methods with minimum control effort. The solution to this particular problem lies in combining benefits of event-based control such as resource optimization and bandwidth allocation with the superior performance of fractional order control. Theoretical and implementation aspects are developed in order to provide a generalization of event-based control into the fractional calculus field. Different numerical examples validate the proposed methodology, providing a useful tool, especially for industrial applications where the event-based control is most needed. Several event-based fractional order implementation possibilities are explored, the final result being an event-based fractional order control methodology.

This paper presents comparative studies regarding a recently developed extension of the widely used relay-feedback PID auto-tuner. The proposed method consists of two steps: process identification and controller design. First, a non-iterative procedure is suggested for identification of two points on the process Nyquist curve. A second-order-plus-dead-time model is obtained and then used for PID controller design based on the internal model principle (IMC). For the identification of the two points on the Nyquist curve a pure relay in the feedback loop (as used in standard auto-tuning) and a relay which operates on the integral of the error are used. The paper compares the performance of autotuning methods with experimental studies on a commercial auto-tuning PID controller - a Shimaden PID auto-tuner

This paper is intended to give a short overview about the NEPSAC nonlinear predictive control approach. In the first part there are presented the theoretical aspects of the control design procedure, and then in the next section are shown the results for the designed algorithm for a real life experiment. There are also compared the results with other type of controllers like the MPC or PID controller.

The paper describes a method to determine a mathematical model for an electric oven with silicon-carbide heating elements. The structure of the model is obtained analytically, and its parameters are determined through experimental methods such as heating and cooling curve. The accuracy of this model is verified comparing the numerical simulation results with a set of experimental data

This paper investigates the performance of a new predictive control approach used to improve the energy efficiency and effluent quality of a conventional Wastewater Treatment Plant (WWTP). A two-layer hierarchical control structure is proposed: process control as a lower layer and a higher layer of optimization. The Activated Sludge Process (ASP) optimization using the proposed approach provides an improved aeration system efficiency to reduce energy costs while maintaining the quality parameters of the effluent. The control strategy is evaluated by performing simulations and analyzing the results. The regulatory performances have been tested and the effects of several tuning parameters are investigated.