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Boiler-turbine units are multivariable nonlinear systems.
Real multivariable nonlinear systems are always difficult to model.
The Hamilton formulation of mechanical systems is used for linearization and tracking in multivariable nonlinear systems.
This paper considers a sliding mode control of multivariable nonlinear systems with time-varying delay.
This paper is concerned with the synthesis of a nonlinear state feedback law for nonsquare multivariable nonlinear systems.
This paper presents the fuzzy control of a class of multivariable nonlinear systems subject to parameter uncertainties.
Similar(38)
These methods are applied to a multivariable nonlinear system as an ammonia urea reactor system.
This boiling process is a multivariable nonlinear system that shows interactions and is subjected to input constraints.
In order to achieve safe and efficient operations, this paper proposes a novel L1 adaptive state feedback controller for the multivariable nonlinear boiler turbine systems with unknown uncertainties.
In this work, a novel approach based on incremental state models has been proposed for the modeling of multivariable nonlinear delayed systems expressed by a generalized version of Takagi Sugeno (T S) fuzzy model.
In this paper, the problem of fault-tolerant control (FTC) is investigated for a class of multivariable stochastic nonlinear systems in the strict-feedback form.
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