Leonardo Riccardi

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In this paper we develop an algorithm for adaptive control of unconventional actuators based on Prandtl-Ishlinskii models and Lyapunov design. The chosen family of models is general enough to capture the strongly variable shapes of the hysteresis exhibited by some electro-active materials and has an inverse model that can be computed analytically. The(More)
This paper describes a precise positioning system based on magnetic shape memory alloys (MSMAs). This new type of material shows an interesting potential in the area of mechatronics due to its outstanding magnetically-induced strain, which is significantly larger than the one exhibited by other common active materials such as piezoelectric ceramics.(More)
This paper deals with the stability analysis of PI and PID control of dynamic systems with an input hysteresis described by a modified Prandtl-Ishlinskii model. The problem of the asymptotic tracking of constant references is reformulated as the stability of a polytopic linear differential inclusion. This offers a simple linear matrix inequality condition(More)
This paper considers a control strategy for systems affected by time-varying hysteretic phenomena, such as those observed in magnetic shape memory alloys subject to temperature variations. The proposed controller is based on a scheme that combines feedforward cancellation of the hysteresis using a modified Prandtl–Ishlinskii inverse model with a closed-loop(More)
This paper discusses in details a control design approach for hysteretic systems with dynamics. The framework is quite general to embrace several unconventional actuators. In particular, we here propose a method which allows the exploitation of the particular hysteresis characteristic of a specific class of actuators based on magnetic shape memory alloys,(More)
This paper shows how "soft computing" could be useful to solve control problems. For this aim the dynamic of temperature in a room has been modelled, simulating it by the use of an artificial neural network (ANN) opportunely trained. Then, using this model, two main kinds of controllers have been tuned using a genetic algorithm: a standard PID and a fuzzy(More)
The need for mechatronic devices that are lightweight, less cumbersome and able to produce small, quick and precise movements or forces is ever increasing in many fields of engineering. Many recent design solutions are based on electrically, magnetically or thermally activated materials, often referred to as smart materials. This tutorial paper overviews(More)
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