In this paper a new navigation control strategy based on neurophysiological studies on perception is introduced. The underlying idea is that perception can be represented by chaotic attractors whose dynamical evolution depends on sensorial stimuli. To achieve this goal sensors equipped on a robot are associated with reference trajectories controlling the chaotic system (a multiscroll system) with a new technique based on Pyragas control, but extended to multi-reference signals. This technique is called weak chaos control, since applied to the multiscroll system allows us to obtain periodic orbits never shown by the uncontrolled system. This represents a key issue in the representation of perception under the concurrent control of different sensorial stimuli. The approach has been successfully applied to a roving robot model.

Representation

Neurophysiology

10.1109/cdc.2005.1582158

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Citations (7)

Fuzzy logic controlled monolithic switching regulator in BCD technology

M. Criscione Luigi Fortuna Antonio Imbruglia Giuseppe Scalia

A monolithic architecture to realize a high-performance switching regulator with nonlinear fuzzy logic control is introduced. An overview of the main issues related to PWM DC/DC conversion in continuous mode is reported and an introduction to nonlinear fuzzy logic control is given. The main analog fuzzy logic blocks are illustrated and the overall architecture presented with the main results obtained.

Fuzzy electronics

10.1109/iscas.2001.921397

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COMPARISON BETWEEN CART AND FUZZY LOGIC FOR CONFINEMENT REGIME CLASSIFICATION AT JET

G. Vagliasindi Paolo Arena Luigi Fortuna A. Murari Jet Contributors

Cart

10.1142/9789812799470_0070

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New Chaotic Attractors and New Chaotic Circuits

International Journal of Advancements in Computing Technology (2012)

Fadhil Rahma Tahir Ramzy S. Ali Luigi Fortuna Mattia Frasca

A novel two – dimensional chaotic system is introduced. The new system exhibits gallery of new chaotic attractors in numerical simulations. The dynamical of new system is analyzed through equilibrium point structure. The nonlinearity is characterized by tan hyperbolic function. The simple chaotic circuit of the proposed system is presented. The proposed circuit is driven by a periodic pulse – train source. For specific parameter values, We replace the tan hyperbolic function by sign function model. One op-amp as a comparator, the only nonlinear device involved to provide the sign nonlinearity. The output of this comparator is a chaotic bipolar pulse – train. The proposed chaotic circuits are examined by Orcad – Pspice.

10.4156/ijact.vol4.issue3.17

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Citations (3)

Special issue on Complexity in Engineering

Nonlinear Dynamics (2018)

Arturo Buscarino Luigi Fortuna Mattia Frasca

10.1007/s11071-018-4140-2

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Citations (16)

A Method to Characterize IPMC Membrane Sensor

2005 IEEE Instrumentationand Measurement Technology Conference Proceedings (2006)

C. Bonomo Luigi Fortuna Salvatore Graziani Salvatore Strazzeri P. Giannone

Ionic polymer metal composites (IPMCs) are emerging materials used to realize motion sensors and actuators. In the former case by bending an IPMC membrane an electric signal is obtained, while in the latter case an electric input is able to cause the membrane to bend. Hence, it makes sense to investigate the opportunity to use IPMCs to build either actuators or sensors. Though a number of interesting properties have been described for such materials, few results have been obtained regarding their characterization. In this work, a new experimental setup to investigate IPMC behaviour as sensors is described and some results of the analysis of sensing properties of IPMCs strips are presented. In particular attention is focused on the influence of IPMC structure on the performance of the sensor and preliminary results concerning its life time are shows

STRIPS

Electroactive polymers

SIGNAL (programming language)

Characterization

Smart material

10.1109/imtc.2005.1604182

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Citations (10)

On H/sup infinity /-control for symmetric systems

Luigi Fortuna Giovanni Muscato G. Nunnari

Results regarding H/sup infinity / control for symmetric systems are introduced. It is shown that in order to find the compensator, only one nonlinear matrix equation has to be solved, instead of two Riccati equations as in the general case. A numerically robust algorithm for the solution of the equation introduced is presented. The compensator obtained is also shown to be symmetric. Some considerations concerning the so-called normalized H/sup infinity / control problem are outlined.< >

Infinity

Algebraic Riccati equation

Matrix (chemical analysis)

10.1109/cdc.1992.371192

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A comparison between HMLP and HRBF for attitude control

Luigi Fortuna Giovanni Muscato P. Renda Maria Gabriella Xibilia

The attitude control problem of a rigid body, such as a spacecraft, in three-dimensional space is approached by introducing two new control strategies developed in hypercomplex algebra. The proposed approaches are based on two parallel controllers both derived in quaternion algebra. The first one is a feedback controller of PD type, while the second is a feedforward controller, which is implemented either by means of a hypercomplex multilayer perceptron (HMLP) neural network or by means of a hypercomplex radial basis function (HRBF) neural network. Several simulations show the performance of the two approaches. The results are also compared with a classical PD controller and with an adaptive controller, showing the improvements due to the use of the neural networks, especially when an external disturbance acts on the rigid body.

Hypercomplex number

Feed forward

Multilayer perceptron

Basis (linear algebra)

10.1109/cca.1998.728321

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Citations (7)