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As a new type of output feedback control for a stochastic discrete-time state-space system, a finite memory control (FMC) is proposed and its properties are investigated. Instead of using an internal state involved with old data, the FMC is required to have finite memory with respect to inputs and outputs together with the future reference signals and minimize a conditional receding horizon quadratic...
In this paper, a generalized predictive control (GPC) is represented over state space and then is shown to be separated into the receding horizon control (RHC) and the steady-state Kalman filter. By utilizing only the information on the recent finite inputs and outputs, we propose a new finite memory GPC (FMGPC) that consists of the RHC and a finite impulse response (FIR) filter. The proposed FMGPC...
In this paper, a generalized predictive control (GPC) is represented over state space and then is shown to be separated into the receding horizon control (RHC) and the steady-state Kalman filter. By utilizing only the information on the recent finite inputs and outputs, we propose a new finite memory GPC that consists of the RHC and a finite impulse response (FIR) filter. The proposed finite memory...
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