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The present study proposes a macroscopic model based control scheme for Indian traffic conditions.
The paper proposes a multiple models based control scheme for the solution of the tracking problem for mobile robots.
We then developed a CPG based control scheme for calculating the damping profile in real time for maneuvering a prosthetic device called AMAL (Adaptive Modular Active Leg).
For example, [3] outlined the fundamental requirements of direct load control (DLC) and presented a general optimization framework to do the feeder-scale load reduction, while [4] designed a priority based control scheme for TCLs to participate in grid frequency regulation.
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In this work, the authors have designed and implemented predictor-corrector approach based control schemes for a single input-single output nonlinear system.
An extended high gain observer based control scheme is proposed for linear Active Disturbance Rejection (ADRC) for nonlinear differentially flat systems.
Then, a multiple-model based control scheme is developed to compensate for actuator failures, consisting of a kinematic controller, multiple dynamic controllers and a control switching mechanism.
The methodology can be readily adapted for different operating conditions as in this case of polymer processing and has good potential for its integration with advanced model based control schemes and cloud computing approaches for the next generation of machines.
This paper presents a novel observer-based control scheme for discrete-time piecewise affine systems based on a piecewise-quadratic Lyapunov function.
A stable adaptive neural-network-based control scheme for dynamical systems is presented and a continuous recurrent neural network model of dynamical systems is constructed in this paper.
A novel observer-based control scheme for the linear time-delay systems with interval time-varying input as well as output lags is derived from the proposed control strategy.
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