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The results demonstrate that, compared to the conventional HM systems, a 6.7% OFS increment and a 57.1% OFS breakdown decrement can be obtained in the multiple models based adaptive HM systems.
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Virtual model based adaptive dynamic control of a biped walking robot, International Journal on Artificial Intelligence Tools, vol. 8, no.
Many kriging model based adaptive sequential sampling methods have been developed recently for efficient reliability analysis.
This paper deals with identification and real time model based adaptive control of a special class of nonlinear systems.
The purpose of this paper is to present a practical application of a Sugeno model based adaptive neuro-fuzzy architecture.
This paper, presents a new approach of a nonlinear model based adaptive observer method, for detection, isolation and identification of actuator and sensor faults.
A Takagi-Sugeno (T-S) fuzzy model based adaptive control algorithm for a class of multiple-input-multiple-output (MIMO) nonlinear uncertain systems is presented in this paper.
In this way, unlike model based adaptive nonlinear control laws such as adaptive nonlinear dynamic inversion (ANDI), dependency on accurate full model information and the associated identification workload is removed.
Further, compared to multiple model based adaptive FTC design, the proposed methodology circumvents the issues of stability due to switching between different models and utilizes a minimum number of estimation models for parameter estimation without sacrificing the output performance and thereby reducing the computational burden.
Open image in new window Figure 2 Model based adaptive dynamic controller.
For controller design, this paper presents the model-free based adaptive nonsingular fast terminal sliding mode control which comprises three parts: the intelligent PI controller, time-delay estimation, and adaptive sliding mode compensator.
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