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It is shown that the performance of the proposed intelligent control schemes outperforms the classical FIR-based active noise controller.
The objective of this study is to develop intelligent control schemes for the transverse vibration reduction of an axially moving string.
In this paper, fuzzy based intelligent control schemes are designed for control of nonlinear single-input single-output (single-input single-output
This paper presents several classical control schemes and intelligent control schemes of an experimental propeller setup, which is called the twin rotor multi-input multi-output (MIMO) system.
Due to non-analyticity of the SMC control effort generated as vibration level becoming small, two intelligent control schemes are proposed to complete the task — fuzzy sliding-mode control (FSMC) and fuzzy neural network control (FNNC).
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This paper presents an intelligent control scheme that uses a cerebellar model articulation controller (CMAC) and genetic algorithms (GA) in aircraft automatic landing control and to make automatic landing systems (ALS) more intelligent.
This paper introduces a skill based manipulation in a hierarchical intelligent control scheme for robots.
Both control laws have been implemented in a variety of failure scenarios to validate the proposed intelligent control scheme.
To optimize interleaved converters usage, an intelligent control scheme that maximizes closed-loop performance in current tracking must be designed.
In this paper, we propose an intelligent control scheme in which IMC-PID is combined with GA.
This single-particle identification system is integrated in a new intelligent control scheme to automate cryo-EM data acquisition.
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