Implicit state-space representation: A unifying framework for FWL implementation of LTI systems
World Congress, Volume # 16 | Part# 1
Authors
T. Hilaire; P. Chevrel; Y. Trinquet
Digital Object Identifier (DOI)
10.3182/20050703-6-CZ-1902.00048
Page Numbers:
47-47
Index Terms
parametrization,implicit systems,state-space realization,implementation,control algorithms,digital control
Abstract
Practically, some intermediary realizations are used in order to simulate, numerically, dynamic systems. One of the most popular is the state-space realization. It reveals to be very useful to study the impact of Finite Word Length implementation, especially in the case of embedded controller. Numerous works concerned the design of the "best" realization concerning parameterisation, numerical noise minimisation or saving computation. This paper points out however that a standard state-space realization is too basic to take into account some interesting realizations. On the contrary, it highlights that implicit state-space realizations allows a more direct link with the macroscopic computations to be performed. It is necessary to describe some popular algorithms simulating LTI systems. Moreover, such a representation has the important property to unify different ways of research considering differently the possibilities offered by using the shift, δ or े operators.
References
[1] Back, A.D., A.C. Tsoi, B.G. Horne and C.L. Giles
(1996). Alternative discrete time operators
and their application to nonlinear models.
IEEE Transactions on Signal Processing, special
issue on Applications of Neural Networks
to Signal Processing.
[2] Dai, L. (1989). Singular Control Systems. lecture
note in control and information sciences ed.,
Springer-verlag.
[3] Gevers, M. and G. Li (1993). Parametrizations in
Control, Estimation and Filtering Probems.
Springer-Verlag.
[4] Istepanian, R. and Whidborne, J., Eds. (2001).
Digital Controller implementation and
fragility. Springer.
[5] Istepanian, R., I. Pratt, R. Goodall and S. Jones
(1996). Effect of fixed-point parametrization
on the performance of active suspension control
systems. In: 13th IFAC World Congress.
[6] Keding, H., M. Willems, M. Coors and H. Meyr
(1998). FRIDGE : A fixed-point design and
simulation environment. EDAA.
[7] Kum, KI., J. Kang and W. Sung (2000).
AUTOSCALER for C : An optimizing
floating-point to integer C program converter
for fixed-point digital signal processors.
IEEE Transactions on Circuits and Systems
47(9), 840-848.
[8] Menard, D. and O. Sentieys (2002). Automatic
evaluation of the accuracy of fixed-point algorithms.
In: Proceedings of DATE02 (Design
Automation and Test in Europe).
[9] Middleton, R. and G. Goodwin (1990). Digital
Control and Estimation, a unified approach.
Prentice-Hall International Editions.
[10] Rabah, R. and B. Bergeon (2001). On state-space
representation for linear discrete-time systems
in hilbert spaces. In: Kharkov University
Vestnik. Vol. 514.
[11] Roger, A. and C. Aubenas (2001). Application
note : Signal processing with ST10-DSP.
Technical report. ST Microelectronics.
[12] Rostgaard, M., NK. Poulsen and O. Ravn (1993).
A rapprochement between discrete-time operators.
In: ECC93. Vol. 2. pp. 426-431.
[13] Rotea, M. and D. Williamson (1995). Optimal realizations
of finite wordlength digital filters
and controllers. IEEE Transactions on Circuits
and Systems 42(2), 61-72.
[14] Stanković, S. and D. Šiljak (2001). Contractibility
of overlapping decentralized control. System
& Control Letters.
[15] Świder, Z. (1998). Realization using the γoperator.
Automatica 43(11), 1455-1457.
[16] Tavsano&gcaron;lu, V. and L. Thiele (1984). Optimal design
of state-space digital filters by simultaneous
minimization of sensibility and roundoff
noise. In: IEEE Trans. on Acoustics, Speech
and Signal Processing. Vol. CAS-31.
[17] Williamson, D. (1986). Roundoff noise minimization
and pole-zero sensibivity in fixed-point
digital filters using residue feedback. In: IEEE
Trans. on Acoustics, Speech and Signal Processing
. Vol. ASSP-43.
[18] Williamson, D. (1992). Digital Control and Implementation,
Finite Wordlength Considerations
. Prentice-Hall International Editions.
[19] Wu, J., S. Chen, G. Li and J. Chu (2000a). Optimal
finite-precision state-estimate feedback
controller realizations of discrete-time systems.
IEEE Transactions on Automatic Control
45(8), 1550-1554.
[20] Wu, J., S. Chen, J. Whidborne and J. Chu
(2001). Optimal realizations of floating-point
implemented digital controllers with finite
wordlength considerations. International
Journal of Control 77(5), 427-440.
[21] Wu, J., S. Chen, R. Istepanina and J. Chu (2000b).
Shift and delta operator realizations for digital
controllers with finite-word-length considerations.
IEE Proc. Control Theory and Applications
.
