Lyapunov-stable discrete-time model reference adaptive control
نویسندگان
چکیده
منابع مشابه
Globally stable direct fuzzy model reference adaptive control
In the paper a fuzzy adaptive control algorithm is presented. It belongs to the class of direct model reference adaptive techniques based on a fuzzy (Takagi–Sugeno) model of the plant. The plant to be controlled is assumed to be nonlinear and predominantly of the 2rst order. Consequently, the resulting adaptive and control laws are very simple and thus interesting for use in practical applicati...
متن کاملConditioning of the Stable, Discrete-Time Lyapunov Operator
MICHAEL K. TIPPETTy, STEPHEN E. COHNz, RICARDO TODLINGx, AND DAN MARCHESIN{ Abstract. The Schatten p-norm condition of the discrete-time Lyapunov operator LA defined on matrices P 2 Rn n by LAP P APAT is studied for stable matrices A 2 Rn n . Bounds are obtained for the norm of LA and its inverse that depend on the spectrum, singular values and radius of stability of A. Since the solution P of ...
متن کاملModel Reference Adaptive Control
This article presents the elements of model reference adaptive control, which refers to a particular control procedure for uncertain dynamic systems. The control problem as well as the adaptive control problem are described. The use of various models for control, including identification model and reference model is presented. The model-following in the presence of various inputs is discussed. ...
متن کاملDirect model reference adaptive control using Kp = LDU factorization for multivariable discrete-time plants
For a large class of discrete-time multivariable plants with arbitrary relative degrees, the design and analysis of the direct model reference adaptive control scheme are investigated under less restrictive assumptions. The algorithm is based on a new parametrization derived from the high frequency gain matrix factorizationKp = LDU under the condition that the signs of the leading principal min...
متن کاملStable indirect adaptive control based on discrete-time T-S fuzzy model
This paper presents an indirect adaptive fuzzy control scheme for uncertain nonlinear asymptotically stable plants. A discrete-time T–S fuzzy input–output model is employed to approximate the unknown plant dynamics. The T–S fuzzy model is fed with its own states, which are indeed its past outputs, rather than the measurements from the plants. Entirely based on this model, a feedback linearizati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Adaptive Control and Signal Processing
سال: 2005
ISSN: 0890-6327,1099-1115
DOI: 10.1002/acs.876