this paper proposes a hybrid control scheme for the synchronization of two chaotic duffing oscillator system, subject to uncertainties and external disturbances. the novelty of this scheme is that the linear quadratic regulation (lqr) control, sliding mode (sm) control and gaussian radial basis function neural network (grbfnn) control are combined to chaos synchronization with respect to extern...

this paper proposes an approach for the minimum time swing upof a rotary inverted pendulum. our rotary inverted pendulum is supported bya pivot arm. the pivot arm rotates in a horizontal plane by means of a servomotor. the opposite end of the arm is instrumented with a joint whose axisis along the radial direction of the motor. a pendulum is suspended at thejoint. the task is to design a contro...

in this paper, the development and optimization of power distribution control strategy (pdcs) have been performed for a hybrid energy storage systems (hess) of a series hybrid electric bus (sheb). a common pdcs is based on the use of ultra-capacitor (uc) pack. a new simple pdcs is developed as a battery based one. for the battery based pdcs, four parameters are introduced for tuning the pdcs pe...

in the present paper, the idea of braking energy regeneration and reusing that energy during acceleration for a refuse truck is comprehended. according to their driving cycle, the refuse trucks have a good potential for braking energy regeneration. on the other hand, hydraulic hybrid is a powertrain with high power density which is appropriate for energy regeneration. in the primary stage of th...

Optimal control systems are of considerable practical and theoretical interest. Although solutions of certain optimal control problems have been known for many years, it is only recently that fairly general, rigorous solution techniques have been developed. Unfortunately, the computational aspects of these solution techniques still present formidable problems. The time-optimal problem which is ...

in this study a machine learning algorithm was applied in order to develop a predictive model for the changes in phytoplankton biomass (chlorophyll a) in the lower nakdong river, south korea. we used a “hybrid evolutionary algorithm (hea)” which generated model consists of three functions ‘if-thenelse’ on the basis of a 15-year, weekly monitored ecological database. we used the average ...

many studies have been done on hybrid vehicles in the past few years. the full hybrid vehicles need a large number of batteries creating up to 300 (v) to meet the required voltage of electric motor. the size and weight of the batteries cause some problems. this research investigates the mild hybrid vehicle. this vehicle includes a small electric motor and a high power internal combustion engine...

In this paper the design of a time-optimal controller for a class of hybrid systems where the continuous part is modelled by integrator processes is outlined. The controller may be used for classical tracking problems where the goal is to follow a given trajectory. However, since the control law can be expressed as a function of the present continuous state it can also compensate for disturbanc...

This work investigates the problem of determining switching conditions for the production of the lantibiotic subtilin by Bacillus subtilis. These conditions are synthesized as the outcome of an optimal control problem based on a survival analysis interpretation. The problem is built upon the general modeling framework of stochastic hybrid systems, by translating the survival analysis into a pro...