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丁锋, Feng
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR PAPERS, VOL. 52, NO.6, JUNE 2005,-0001,():
-1年11月30日
This
model,
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丁锋, FENG
SLAM J. CONTTROL OPTIM. Vol. 45, No. 6, pp. 2257-2276,-0001,():
-1年11月30日
This
Hammerstein
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丁锋, Feng
Int. J. Adapt. Control Signal Process. 2004; 18: 697-714,-0001,():
-1年11月30日
A polynomial transformation technique is used to obtain a frequency-domain model for a dual-rate system in which the output sampling period is an integer multiple of the input updating period. Based on this model, a self-tuning control algorithm is proposed by minimizing output tracking error criteria from directly the dual-rate input–output data. Convergence properties of the algorithm are analysed in detail in the stochastic framework. The output tracking error at the output sampling instants has the property of minimum variance. It is shown that the control algorithm can achieve virtually optimal control asymptotically, ensuring the closed-loop systems to be stable and globally convergent. A simulation example illustrates the self-tuning scheme presented.
multirate
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丁锋, Feng
Automatica 40(2004)1739-1748,-0001,():
-1年11月30日
For a dual-rate sampled-data system, an auxiliary model based identification algorithm for combined parameter and output estimation is proposed. The basic idea is to use an auxiliary model to estimate the unknown noise-free output (true output) of the system, and directly to identify the parameters of the underlying fast single-rate model from the dual-rate input–output data. It is shown that the parameter estimation error consistently converges to zero under generalized or weak persistent excitation conditions and unbounded noise variance, and that the output estimates uniformly converge to the true outputs. An example is included.
Dual-rate
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丁锋, Feng
Int. J. Adapt. Control Signal Process. 2004; 18: 589-598,-0001,():
-1年11月30日
Two
system
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