和文静

和文静

2020级数学硕士研究生

青岛科技大学

青岛科技大学数学专业硕士，北京化工大学控制科学与工程专业博士研究生，主要研究方向为切换非线性系统、输入输出约束。

A Novel Network-Based Controller Design for a Class of Stochastic Nonlinear Systems with Multiple Faults and Full State Constraints featured image

Stochastic Nonlinear Systems

A Novel Network-Based Controller Design for a Class of Stochastic Nonlinear Systems with Multiple Faults and Full State Constraints

李娜

• 2024年3月29日

A Novel Network-Based Adaptive Fault-Tolerant Control of Switched Nonlinear Systems Subject to Multiple Faults under Prescribed Performance featured image

Adaptive Control

A Novel Network-Based Adaptive Fault-Tolerant Control of Switched Nonlinear Systems Subject to Multiple Faults under Prescribed Performance

和文静

• 2024年2月1日

Adaptive Multi-Switching-Based Global Tracking Control for Switched Nonlinear Systems With Prescribed Performance featured image

Adaptive Multi-Switching-Based Global Tracking Control for Switched Nonlinear Systems With Prescribed Performance

和文静

• 2023年5月29日

Adaptive Finite-Time Control for Switched Nonlinear Systems Subject to Multiple Objective Constraints via Multi-Dimensional Taylor Network Approach featured image

Adaptive Control

Adaptive Finite-Time Control for Switched Nonlinear Systems Subject to Multiple Objective Constraints via Multi-Dimensional Taylor Network Approach

和文静

• 2023年5月8日

Adaptive Controller Design for Switched Stochastic Nonlinear Systems Subject to Unknown Dead-zone Input via New Type of Network Approach featured image

Adaptive Control

Adaptive Controller Design for Switched Stochastic Nonlinear Systems Subject to Unknown Dead-zone Input via New Type of Network Approach

和文静

• 2023年1月30日

Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach featured image

Large-Scale Nonlinear Systems

Adaptive Decentralized Tracking Control for a Class of Large-Scale Nonlinear Systems with Dynamic Uncertainties Using Multi-dimensional Taylor Network Approach

Zhengduo Shan

• 2022年9月6日

Adaptive Tracking Control for Switched Nonlinear Systems Subject to Input Delay and Saturation Using Multi-Dimensional Taylor Network Approach featured image

Adaptive Control

Adaptive Tracking Control for Switched Nonlinear Systems Subject to Input Delay and Saturation Using Multi-Dimensional Taylor Network Approach

和文静

• 2022年8月15日

Control Design for Stochastic Nonlinear Systems with Full-state Constraints and Input Delay: A New Adaptive Approximation Method featured image

Adaptive Control

Control Design for Stochastic Nonlinear Systems with Full-state Constraints and Input Delay: A New Adaptive Approximation Method

李娜

• 2022年7月12日

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

Adaptive Control

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

和文静

• 2022年4月25日

Adaptive Tracking Control of a Class of Nonlinear Systems with Input Delay and Dynamic Uncertainties Using Multi-dimensional Taylor Network featured image

Adaptive Control

Adaptive Tracking Control of a Class of Nonlinear Systems with Input Delay and Dynamic Uncertainties Using Multi-dimensional Taylor Network

韩玉群

• 2021年12月6日

A Fast Low-Rank Matrix Factorization Method for Dynamic Magnetic Resonance Imaging Restoration featured image

Low-Rank Matrix Factorization

A Fast Low-Rank Matrix Factorization Method for Dynamic Magnetic Resonance Imaging Restoration

Fei Xu

• 2019年8月1日

基于形态学的高斯模型和八邻域帧差法混合运动目标检测算法 featured image

八邻域帧差法

基于形态学的高斯模型和八邻域帧差法混合运动目标检测算法

杨树国

• 2019年7月4日

Adaptive Tight Frame Based Multiplicative Noise Removal

Weifeng Zhou

• 2016年12月1日