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        Swarm Intelligence Based Model Predictive Control Strategy for Optimal State Control of Discrete Time-varying MIMO Linear Systems

        Hao Zheng,Yanwei Zhang,Haider Muhammad Husnain,Pengpeng Zhi,Zhonglai Wang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.10

        It is a challenging task to effectively control multi-input and multi-output (MIMO) discrete time-varying linear systems. This paper proposes a swarm intelligence based model predictive control (MPC) strategy for addressing the challenge. First, a swarm intelligence based iterative dynamic optimal control solver is proposed to avoid the difficulty in solving the algebraic Riccati equation of finite-horizon optimal state control problem. Then, a swarm intelligence based online optimal controller is designed based on the MPC strategy, which can extend the optimal control problem from the finite-horizon to the infinite-horizon. Finally, the feedback structure of the online optimal state control system for MIMO discrete time-varying linear systems is constructed. A real-time simulation and a practical control experiment of a first order inverted pendulum system are employed to elborate the proposed method. The results show that the proposed method has the high efficiency, high accuracy, and anti-interference capability.

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        Effect of supplemental blue light intensity on the growth and quality of Chinese kale

        Yamin Li,Yinjian Zheng,Houcheng Liu,Yiting Zhang,Yanwei Hao,Shiwei Song,Bingfu Lei 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.1

        The infl uence of blue light on the growth and quality of vegetables is controversial, since both positive and negative eff ectshave been observed on diff erent varieties of vegetables and most research has been conducted with a combination of lightspectrums. In this work, we investigated the eff ects of supplemental blue light intensity on growth, nutritional quality, andhealth-promoting compounds of Chinese kale ( Brassica alboglabra Bailey) using only blue (460 nm) light-emitting diodes10 days before harvest in a greenhouse under ambient light conditions. Four blue-light treatments were conducted (0, 50,100, and 150 μmol m −2 s −1 , named T0, T50, T100, and T150, respectively) with 12 h (6:00–18:00) of light treatment perday. The growth of Chinese kale plants was improved by supplemental blue light. The fresh and dry weights of Chinesekale plants were signifi cantly higher under T50 and T100 than those in the other treatments. The content of chlorophyll band total chlorophyll increased signifi cantly under T50, and the content of carotenoids increased signifi cantly under T150. The contents of soluble sugars and free amino acids were signifi cantly increased under the blue light treatments. The nitratecontent decreased with increasing blue light intensity, while the anthocyanin content increased. The contents of vitamin Cin T50 and total phenolic compounds in T150 were signifi cantly higher than in T0. The fl avonoid contents were signifi canthigher in T50 and T150, and signifi cantly lower in T100. Our results show that blue light can infl uence the growth and qualityof Chinese kale and 50 μmol m −2 s −1 of supplemental blue light might be the most feasible light intensity for Chinesekale production.

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