A Logical Dynamical Systems Approach to Modeling and Control of Residual Gas Fraction in IC Engines

The stochastic logical dynamical system is described in a new framework by proposing a finite set of special functions. The optimization problem of the residual gas friction (RGF) is modeled as a stochastic logical dynamical system, applying maximum likelihood estimation (MLE) and quantification technique. The optimal controller is designed with receding horizon control (RHC) approach. Finally, to demonstrate the performances of the proposed control scheme, numerical simulation and experiment are expressed.