朱善良

朱善良

正教授
博士,教授,硕士生导师,人工智能技术海洋场景化应用山东省工程研究中心副主任,青岛市人工智能海洋技术创新中心副主任,青岛科技大学数学与交叉研究院副院长。山东赛区数学建模竞赛专家组成员、山东省数学会理事、山东省应用统计学会理事、人工智能海洋学专业委员会委员。近年来,主持或参与国家自然科学基金、省自然基金、省教改项目等各类教学科研项目20多项,在国内外期刊发表学术论文80余篇,其中被SCI、EI检索70余篇,参编教材1部。指导学生参加全国大学生数学建模竞赛、中国研究生数学建模竞赛、美国大学生数学建模竞赛等各类竞赛获国家一等奖9项、国家二等奖29项、国家三等奖13项、山东省一等奖37项、山东省二等奖12项、山东省三等奖7项。指导本科生参加国家大学生创新计划项目4项。

Event-Triggered Adaptive Multi-Dimensional Taylor Network Tracking Control for Stochastic Nonlinear Systems

For a class of stochastic nonlinear systems, this paper proposes a novel event-triggered adaptive control scheme by means of multi-dimensional Taylor network (MTN) approach for the …

yang-du

Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

yizhi-zhao

Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

yizhi-zhao

Estimation of the Barrier Layer Thickness in the Indian Ocean Based on Hybrid Neural Network Model

Accurately and effectively estimating of the barrier layer thickness (BLT) is essential for the research of ocean thermodynamics, ocean dynamics, and air-sea interaction. …

yizhi-zhao

Design of Adaptive Finite-Time Fault-Tolerant Controller for Stochastic Nonlinear Systems With Multiple Faults

In this paper, the adaptive fault-tolerant control (FTC) problem is addressed for the stochastic nonlinear systems with multiple faults. The multiple faults, including the actuator …

mingxin-wang

飞行器航迹倾角的自适应多维泰勒网控制

针对飞行器纵向模型的不确定性参数和随机干扰,研究了一类飞行器航迹倾角的自适应跟踪控制问题。在控制器设计过程中,将多维泰勒网(multidimensional Taylor network, MTN)的逼近特性和自适应backstepping方法相结合,利用MTN网络逼近未知光滑非线性函数,提出了一种新的自适应MTN控制方法。通过Lyapunov稳定性理论证明 …

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朱善良

飞行器航迹倾角的自适应多维泰勒网控制

针对飞行器纵向模型的不确定性参数和随机干扰,研究了一类飞行器航迹倾角的自适应跟踪控制问题。在控制器设计过程中,将多维泰勒网(multidimensional Taylor network, MTN)的逼近特性和自适应backstepping方法相结合,利用MTN网络逼近未知光滑非线性函数,提出了一种新的自适应MTN控制方法。通过Lyapunov稳定性理论证明 …

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朱善良

Tracking Control for Switched Nonlinear Systems Subject to Output Hysteresis via Adaptive Multi-Dimensional Taylor Network Approach

For switched nonlinear systems with output hysteresis, by working on multi-dimensional Taylor network (MTN), an adaptive control strategy is put forward, which can effectively …

wenjing-he