One of the key component of an Adaptive Optics system is the deformable mirror. This mirror can correct the atmospheric turbulence effects by changing its shape. In the last years Adaptive Secondary Mirrors (ASM) have been developed and the Large Binocular Telescope (LBT) will be soon equipped with two ASMs. Each LBT ASM unit has 672 voice-coil force actuators to change the shape of the mirror ...

In the context of fuzzy control, antecedent parameters are used to provide a segmentation of the state space so that different regions can be modeled appropriately. In Adaptive Critic methodologies, two modules (the critic and the controller) must properly segment the state space to insure good performance. In this paper, we explore the effects of tuning antecedent parameters that are shared be...

To overcome the disadvantages appeared in the application of some supermini underwater robots, a simple improved design framework is proposed. A mechanical improvement scheme is proposed. An easy handle, powerful and computer aided software system including the closed-loop control algorithm is developed for solving the shortcomings that are existed in the manual operation. The modeling of under...

This paper presents a new state-space self-tuning control scheme for adaptive digital control of continuous multivariable nonlinear stochastic hybrid systems with input saturation. Here, the continuous nonlinear stochastic system is assumed to have unknown system parameters, system and measurement noises, and inaccessible system states. The proposed method enables the development of a digitally...

In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The controller uses an open –loop relay test, calculates the tuned parameters in an open loop mode of operation before it updates controller parameters and runs the process as a closed-loop system. The controller reacts on a persistent offset error value as a result of load disturbance or a set poin...

Design problems of predic:tor-b~ self-tuning digital control systems for different lrinds of linear &lid non,..linei1r dynamical plil.J!.ts arlt discussed. Special c..ses inclwle linear pluts \Vith unstable ud nonminimllm-phase control c:hunels, linear pluts wit,h inner ~backs, nonliD,eat Ha,mmerstein a,nd, Wiener-H~erateiD-type plants. Considered are control systems based on generalized minimu...

A self-tuning neurofuzzy integrating controller is derived in this paper for offset eliminating purpose. CARIMA plant model is used and the control law produces integral control terms in a natural way. Neurofuzzy networks are chosen to implement the direct self-tuning nonlinear integrating controller. The performance of the self-tuning integrating neurofuzzy controller is illustrated by example...

This white paper describes a new project exploring the design and implementation of “self-* storage systems:” self-organizing, self-configuring, self-tuning, self-healing, self-managing systems of storage bricks. Borrowing organizational ideas from corporate structure and automation technologies from AI and control systems, we hope to dramatically reduce the administrative burden currently face...

This white paper describes a new project exploring the design and implementation of “self-* storage systems:” self-organizing, self-configuring, self-tuning, self-healing, self-managing systems of storage bricks. Borrowing organizational ideas from corporate structure and automation technologies from AI and control systems, we hope to dramatically reduce the administrative burden currently face...

Control of aerodynamic loads in wind turbines is a critical issue in terms of keeping them economically competitive with alternative energy sources. This paper continues the investigation of the use of Iterative Learning Control (ILC) for load control in wind turbines with smart devices on rotor blades. Smart devices controlled by ILC are used to modify the blade section aerodynamics such that ...