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In this paper, a novel engineering oriented control system design method for multivariable processes is presented.
This sequential design method for multivariable decoupling and multiloop PID controller is applied to several examples from literature.
This paper presents a free model reduction closed loop subspace identification method for multivariable systems operating in a well posed closed loop environment.
In order to solve the decoupling control problem of multivariable system with time delays, a new decoupling Smith control method for multivariable system with time delays was proposed.
The parameter optimization method for multivariable systems is extended to the controller design problems for multiple input multiple output (MIMO) square fractional-order plants.
The mixed sensitivity design method for multivariable linear control systems proposed in the companion paper (Kwakernaak, 2001) is applied to the design of a stability augmentation system for the longitudinal motion of a fighter airplane previously studied by Safonov and Chiang (1988).
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Methods for multivariable logistic regression modeling were identical to those for HPV prevalence.
In this paper, a method for controlling multivariable processes is presented.
This paper presents a new controller validation method for linear multivariable time-invariant models.
In this contribution a simple and useful recursive identification method for linear multivariable systems in the presence of bounded disturbances is presented.
The proposed method for designing multivariable controller is based on ideal decoupler D s) and PID controller optimization under constraints on the robustness and sensitivity to measurement noise.
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