Edge Computing of Online Bounded-Error Query for Energy-Efficient IoT Sensors [PDF]
Sensors, 2022 Since the power of transmitting one-bit data is higher than that of computing one thousand lines of code in IoT (Internet of Things) applications, it is very important to reduce communication costs to save battery power and prolong system lifetime.
Ray-I Chang, Jui-Hua Tsai, Chia-Hui Wang
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Blockchain for bounded-error-pruned content protection
ICT Express, 2021 IoT content usually comes from power-constrained sensors and requires applying different levels of protection. We design a bounded-error-pruned IoT content market (BIoTCM) framework with preserving privacy protection (BEPDPP) scheme using blockchain ...
Ray-I. Chang +3 more
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Bounded-Error-Pruned Sensor Data Compression for Energy-Efficient IoT of Environmental Intelligence
Applied Sciences, 2020 Emerging IoT (Internet of Things) technologies have enjoyed tremendous success in a variety of applications. Since sensors in IoT consume a lot of energy to transmit their data, data compression used to prolong system lifetime has become a hot research ...
Ray-I. Chang +3 more
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State space constrained iterative learning control for 3DOF robotic manipulator [PDF]
FME Transactions, 2021 In this paper, the trajectory tracking problem of a nonlinear robotic system with 3DOFs under the control signal obtained through nonlinearly constrained state spaceIterative Learning Control (ILC) methods is considered.
Dubonjac Aleksandar, Lazarević Mihailo
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Finite-Time Bounded Tracking Control for Fractional-Order Systems
IEEE Access, 2021 This article solves the finite-time bounded tracking control problem for fractional-order systems. Firstly, by taking the fractional derivative on state equations and error signals, a fractional-order error system is constructed, and the error signal is ...
Hao Xie +5 more
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Imputation for Repeated Bounded Outcome Data: Statistical and Machine-Learning Approaches
Mathematics, 2021 Real-life data are bounded and heavy-tailed variables. Zero-one-inflated beta (ZOIB) regression is used for modelling them. There are no appropriate methods to address the problem of missing data in repeated bounded outcomes.
Urko Aguirre-Larracoechea +1 more
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Adaptive iterative learning control with trajectory shift
Xi'an Gongcheng Daxue xuebao, 2022 In order to solve the problem of trajectory shift in iterative learning control, an adaptive iterative learning control strategy was proposed. For linear time-varying systems with unknown parameters, an adaptive parameter updating algorithm was ...
WANG Shouqin, HE Xingshi, GENG Yan
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Optimal universal quantum error correction via bounded reference frames
Physical Review Research, 2022 Error correcting codes with a universal set of transversal gates are a desideratum for quantum computing. Such codes, however, are ruled out by the Eastin-Knill theorem.
Yuxiang Yang +4 more
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Regulating Constraint-Following Bound for Uncertain Mechanical Systems: An Indirect Control Approach
IEEE Access, 2020 This paper proposes an indirect approach of constraint-following control for mechanical systems with (possibly fast) time-varying uncertainty. It proposes to design controller for the system to render bounded constraint-following error.
Qinqin Sun +3 more
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Distributed Fusion Tracking Estimation Under Range-Only Measurement
IEEE Access, 2022 This paper is concerned with the distributed fusion estimation problem of range-only target tracking system with unknown but bounded noises, where the linear and nonlinear motion models are both considered.
Shiqing Sang, Rusheng Wang, Zhen Hong
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