State space based dual-rate self-tuning
نویسندگان
چکیده
منابع مشابه
State space based dual-rate self-tuning
Abstraet--A state space based dual-rate self-tuning algorithm is proposed for the case where the output sampling rate is slower than the input update rate. A state space innovation model suitable for dual-rate self-tuning control is derived. The parameters of the innovation model together with the states are estimated by a recursive prediction error estimator. The control strategy has been base...
متن کاملNovel State-Space Self-Tuning Control of Two-Dimensional L
A two-dimensional (2-D) state-space self-tuning control (STC) scheme for multi-input multi-output (MIMO) linear discrete-time stochastic systems with actuator faults has been developed in this paper. To develop the 2-D state-space STC design, the 2-D linear discrete-time stochastic system is transformed to, and treated as, a two-dimensional Roesser’s (2D-RM) model. A 2-D state-space STC methodo...
متن کاملActive fault tolerant control using state-space self-tuning control approach
This paper presents a new fault tolerant control scheme for unknown multivariable stochastic systems by modifying the conventional state-space self-tuning control approach. For the detection of faults, a quantitative criterion is developed by comparing the innovation process errors occurring in the Kalman filter estimation algorithm, which, for faulty system recovery, a weighting matrix resetti...
متن کاملHybrid state-space fuzzy model-based controller with dual-rate sampling for digital control of chaotic systems
In this paper, we develop a hybrid state-space fuzzy model-based controller with dual-rate sampling for digital control of chaotic systems. Takagi–Sugeno (TS) fuzzy model is used to model the chaotic dynamic system and the extended paralleldistributed compensation technique is proposed and formulated for designing the fuzzy model-based controller under stability conditions. The optimal regional...
متن کاملSelf-tuning Fuzzy Traffic Rate Control for ATM Networks
This paper addresses the problem of rate control for the Available Bit Rate (ABR) service class in an ATM network. A Sugeno's method based fuzzy ABR rate controller is proposed in this contex. This fuzzy congestion control approach is optimized by a conventional gradient search method, in which the parameters of the output fuzzy functions are adapted based on the gradient of a certain control c...
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: Automatica
سال: 1994
ISSN: 0005-1098
DOI: 10.1016/0005-1098(94)90062-0