Periodic spline orthonormal bases
Journal of Approximation Theory
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
The explicit linear quadratic regulator for constrained systems
Automatica (Journal of IFAC)
A continuation/GMRES method for fast computation of nonlinear receding horizon control
Automatica (Journal of IFAC)
Scalable and high-precision function-approximated images and its secure coding
WSEAS TRANSACTIONS on COMMUNICATIONS
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In this paper, a new integrated control design method based on RHC (receding horizon control) and Fluency analysis is proposed for systems with relatively fast-moving dynamics. In the Fluency analysis which has been proposed by a co-author of this paper, signal spaces are well-classified by its smoothness, and Fluency sampling functions with good properties have been proposed in each space. However, it has been difficult to apply the Fluency analysis approach for a DA (digital-to-analog) converter in sampled-data control systems, since the interpolation using sampling function needs the information of future samples. We, therefore, propose a new interpolation method using predicted information calculated on RHC controller in each step. Moreover, the way to switch the Fluency sampling functions according to the system status is proposed. This approach is realized as an adaptive DA converter. A numerical example is also included to show the proposed method enables us to improve the control performance of systems including a controller and the adaptive DA converter.