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In this paper, a novel adaptive wavelet fuzzy cerebellar model articulation control system is developed for the trajectory tracking control of voice coil motors (VCMs). Since the precise model of the VCM is difficult to obtain, a model-free intelligent control system is developed for the precise trajectory tracking of VCMs. This control system comprises a(More)
A Takagi-Suegeno-Kang (TSK) fuzzy cerebellar-model-articulation-controller-based robust adaptive backstepping (TFCRAB) control system is proposed for the uncertain nonlinear systems. This TFCRAB control system is composed of a novel TSK fuzzy cerebellar model articulation controller (TFC) and a robust compensator. The proposed TFC is a generalization of a(More)
When the precise model of a controlled system is difficult to obtain, a model-free control method is suitable for control system design. The design goal of this paper is to propose a more efficient control method to deal with control systems with unknown system dynamic models and to achieve favorable chattering-free trajectory tracking performance. The(More)
An antilock braking system (ABS) is designed to maximize wheel traction by preventing the wheels from locking during braking, while also maintaining an adequate ability to steer the vehicle. However, the performance of ABS is often degraded under harsh road conditions. In this paper, a self-organizing function-link fuzzy cerebellar model articulation(More)
This paper proposes a remote thin client system for real time multimedia streaming over VNC. A remote frame can be split as two parts, i.e. high motion part and low motion part, and transmitted through the Internet from servers to clients according to the proposed hybrid RTP protocol. A Dynamic Image Detection Scheme (DIDS) is proposed to automatically(More)
This study aims to propose a more efficient control algorithm to achieve precision trajectory tracking control for a two-axis linear piezoelectric ceramic motor (LPCM). Since the inherent nonlinear nature and cross-coupling effect of a two-axis LPCM, its accurate model is difficult to obtain; thus, an intelligent adaptive wavelet fuzzy cerebellar model(More)
This paper proposes a more efficient intelligent control algorithm that can be applied to unknown nonlinear systems. First, a more general neural network (NN) referred to as a function-link cerebellar model articulation controller (FLCMAC) is proposed. In some cases, this FLCMAC can be reduced to an NN and a function-link NN. An FLCMAC-based control system(More)
A novel function-link fuzzy cerebelarmodel-articulation-controller (CMAC) is developed in this study. It is a generalization of a fuzzy neural network and of a conventional CMAC. Then, a control system comprising a function-link fuzzy CMAC and a fuzzy compensator is proposed for multi-input multi-output (MIMO) nonlinear chaotic systems. The function-link(More)
Reaction-based, sensitive sensing of aldehyde and ketone gases in real time was effectively achieved on QCM chips thin-coated with silver ionic liquids and , respectively. The method platform developed in this work involves straightforward synthesis of functional silver ionic liquids in water, and is label-free and highly chemoselective with superior gas(More)
Systematic conservation planning (SCP) deals with a delicate interplay of competing interests and has far-reaching impacts for all stakeholders and systems involved. While SCP has traditionally attempted to conserve ecosystem services that benefit ecological systems, public perceptions of conservation initiatives influence their ultimate feasibility and(More)