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A model following control method is employed for design of the controllers.
The paper deals with properties of a two-loop model following control system (MFC) containing a nominal model of the controlled plant and two PID controllers.
The proposed model following control structure (MFC) may find wide application in new intelligent controllers to robust control of parameter-time varying plants.
Next, basic advantages of the model following control structure for MIMO systems, its stability and robustness properties are presented.
This paper presents nonlinear model following control for a class of nonlinear systems using the fuzzy model-based control approach.
The proposed control is applied to control of an uncertain Lorenz system such as stabilization, synchronization and chaotic model following control (CMFC).
Similar(49)
Numerical results are presented on an advanced molten salt reactor concept as an example nuclear power plant system to demonstrate the validity and effectiveness of the proposed modeling and load following control strategies.
In order to present a model-based path following control design for the snake robot, we first derive the Euler-Lagrange equations of motion of the system.
In this chapter, simulations of an impedance model following force control using generalized learning-based fuzzy environment model (GFEM) are presented for articulated industrial robots with an open-architecture controller.
Thus, I estimated the following control function model.
The paper aims to develop a novel path following control law for nonlinear vessel models in two-time scales.
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