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On PID Control Theory for Nonaffine Uncertain Stochastic ...
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由 J Zhang 著作2023被引用 11 次 — This paper continues the previous researches towards establishing a theoretical foundation of PID control, by studying the regulation problem of PID control ...
On PID Control Theory for Nonaffine Uncertain Stochastic ...
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由 J ZHANG 著作被引用 11 次 — This paper continues the previous researches towards establishing a theoretical foundation of PID control, by studying the regulation problem of PID control for ...
On PID Control Theory for Nonaffine Uncertain Stochastic ...
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由 J Zhang 著作2023被引用 11 次 — This paper continues the previous researches towards establishing a theoretical foundation of PID control, by studying the regulation problem of PID control for ...
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On PID Control Theory for Nonaffine Uncertain Stochastic ...
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On PID Control Theory for Nonaffine Uncertain Stochastic Systems. ZHANG Jinke, ZHAO Cheng, GUO Lei. Journal of Systems Science and Complexity .
On PID Control Theory for Nonaffine Uncertain Stochastic ...
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PID (proportional-integral-derivative) control is recognized to be the most widely and successfully employed control strategy by far.
On PID Control Theory for Nonaffine Uncertain Stochastic ...
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2022年9月15日 — PID (proportional-integral-derivative) control is recognized to be the most widely and successfully employed control strategy by far.
PID Control of Nonlinear Stochastic Systems with Structural ...
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由 J Zhang 著作2020被引用 6 次 — A theoretical foundation on the PID control for a class of high-dimensional nonlinear stochastic systems with structural uncertainties.
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Theory and Design of PID Controller for Nonlinear ...
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It is well-known that the classical proportional-integral-derivative (PID) controller plays a fundamental role in various engineering systems.
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中国科学院数学与系统科学研究院副研究员，目前研究兴趣包括不确定非线性系统控制理论及应用、随机系统控制以及PID控制理论等。入选第九届中国科协青年人才托举工程， ...
PID Control of Nonlinear Stochastic Systems with Structural ...
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由 J Zhang 著作2020被引用 6 次 — A theoretical foundation on the PID control for a class of high-dimensional nonlinear stochastic systems with structural uncertainties.
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