Volume 10

The paper deals with approximation of systems with the dominant first order dynamics and nonsymmetrical input by the Integrator Plus Dead Time (IPDT) model by means of analysis of the nonsymmetrical oscillations arising under relay control. The results achieved by identification of optical plant are then experimentally verified by Disturbance Observer (DOB) based controller.

This paper presents a control concept of a of pendubot laboratory model, which is a two-link under-actuated robotic mechanism. A method for obtaining a mathematical model for the pendubot is presented here. Furthermore this mathematical model is used for LQ control synthesis. The inverted pendulum problem is well suited for education in control theory as well as for research in control of nonlinear mechatronic systems with fast dynamics.

In this paper, an effective technique of hybrid modeling and control are presented. Simple thermal model of Air-handling unit (AHU) is defined in hybrid description language (HYSDEL). AHU model includes continuous dynamics together with discrete rules (if-then-else conditions) and discrete components (on/off switches) represented in unique model structure. Receding horizon optimal control is extended to solve mixed-integer programming problems and is presented as a suitable control scheme for hybrid models.

The paper deals with problems of safety and security principles within industrial communication systems witch is used in safety critical applications. The summarisation of attacks to industrial automation systems and security issues and recommendations applicable to the industrial networks based on cryptographic techniques is mentioned. The mainly part is oriented to identification of risks and summarisation of defensive methods of wireless communication. Practical part the cryptoanalytic’s attacks to standard wireless communications are mentioned.

A parametric description of all static output feedback stabililizing controllers for switching diffusion systems is presented. This description is expressed in terms of coupled linear matrix equations and non-convex quadratic matrix inequalities which depend on parameter matrices similar to weight matrices in LQR theory. A convexifying approximation technique is proposed to obtain the LMI-based algorithms for computing of the gain matrix.

The purpose of this paper is to present an improved version of the time-delay system state feedback control design method. Based on the Lyapunov-Krasovskii functional the delayed-independent stability condition is derived using the linear matrix inequality techniques. The results obtained with an example are presented to compare limitations in the system structure. Since the presented method is based on the convex optimization techniques it is computationally enough efficient.

The paper deals with multivariate statistical methods used for failure prognostics in industrial processes. Modern on-line process monitoring system should support classic fault detection, isolation and diagnosis (FDI) sub-systems to avoid process down-time, increase production, optimize parameters of the production line, etc. However faults usually demand immediate intervention by operator, therefore by using reliable prognostic system, risks can be avoided, maintenance intervals can be scheduled, operation and production strategy can be updated, etc.

The paper addresses the problem of output feedback guaranteed cost controller design for NCSs with time-delay and polytopic uncertainties. By constructing a new parameter-dependent Lyapunov functional and applying the free-weighting matrices technique, the parameter-dependent, delay-dependent design method will be obtained to synthesize a PID controllers achieving a guaranteed cost such that the NCSs can be stabilized for all admissible uncertainties and time-delays. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.