The aim of this paper is to present the main features of an integrated approach of the on-line identification and predictive control of uncertain dynamical systems. A nonparametric statistical procedure is considered for the functional estimation of the unknown process model, imbedded into a neuralbased predictive control procedure: a feedforward neural network with one hidden layer is used to ...

OBJECTIVE Controlling neural activity enables the possibility of manipulating sensory perception, cognitive processes, and body movement, in addition to providing a powerful framework for functionally disentangling the neural circuits that underlie these complex phenomena. Over the last decade, optogenetic stimulation has become an increasingly important and powerful tool for understanding neur...

-For the first time, different adaptive critic designs (ACDs), a conventional proportional integral derivative ( PID) regulator and backpropagation of utility are compared for the same control problem---automatic aircraft landing. The original problem proved to contain little challenge since various conventional and neural network techniques had solved it very well. After the problem had been m...

the interline power flow controller (ipfc) is a concept of the facts controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. this paper proposes a novel ipfc-based damping neuro-control scheme using pso for damping oscil la t i o ns in a power system to improve power system stability. the add i tion of a supplementary controll...

A direct adaptive neurocontroller is proposed to reduce structure response to earth vibrations by actively creating an equal but opposite force to that of the first mode force of the structure. While earthquake forces are generally considered to be unpredictable, the short-term predictions by the proposed neurocontrol architecture significantly reduce structure vibrations. To demonstrate its ge...

. ABSTRACT. Artificial Neural Networks (ANN) are an emerging technology, yet, in continuous dynamic behavior, much work has been done to attempt to generate a formal method to design a controller based on this technology. Based on this fact we are starting to work towards contributing to the generation of a formal method of the application of neurocontrol and thus present several control scheme...

Searching optimal interplanetary trajectories for low-thrust spacecraft is usually a difficult and time-consuming task that involves much experience and expert knowledge in astrodynamics and optimal control theory. This is because the convergence behavior of traditional local optimizers, which are based on numerical optimal control methods, depends on an adequate initial guess, which is often h...