Numerical optimization for self-tuning electrohydraulic control systems

Gaussian Process Optimization for Self-Tuning Control

Self-Tuning Control for MIMO Network Systems

The advances in MIMO systems and networking technologies introduced a revolution in recent times, especially in wireless and wired multi-cast (multi-point-to-multi-point) transmission field. In this work, the distributed versions of self-tuning proportional integral plus derivative (SPID) controller and self-tuning proportional plus integral (SPI) controller are described. An explicit rate feed...

Performance Indices Based Self Tuning for Si-engine Control Optimization

The calibration of today’s spark ignition (SI) engine control systems is a complex and costintensive procedure. To cope with increasing demands in performance issues on the one hand and lowering costs on the other hand, a design procedure combining an approximate simulation model with a self tuning algorithm has been developed. In this paper a performance indices based self tuning method for SI...

Self – Tuning Control of Continuous – Time Systems

One approach to a recursive identification of continuous – time systems was implemented in self – tuning control of a system of interconnected tanks. Since derivatives of input and output variables of continuous – time systems can not be directly measured, differential filters and filtered variables are established to substitute primary variables. The filtered variables are then used in a recur...

Self Tuning Texture Optimization

The goal of example-based texture synthesis methods is to generate arbitrarily large textures from limited exemplars in order to fit the exact dimensions and resolution required for a specific modeling task. The challenge is to faithfully capture all of the visual characteristics of the exemplar texture, without introducing obvious repetitions or unnatural looking visual elements. While existin...