Aoyun Ma

Data-driven MPC with event-triggered adaptive mechanism for ORC waste heat recovery system

Xiang Gu, Dewei Li, Aoyun Ma

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Online data-driven MPC for PWA systems with unknown parameters

Rui Gu, Aoyun Ma, Dewei Li, Yi Xu et autres

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MIQP-Based Iterative Learning Model Predictive Control for Multi-Phase Batch Process

Yu Liu, Aoyun Ma, Dewei Li

This paper proposes an iterative learning model predictive control(IILMPC) strategy based on mixed-integer quadratic programming (MIQP) to address the phase switching and control issues in multi-phase batch processes. By formulating system dynamics through difference equations along the batch processing direction and utilizing …

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Tow-Layer Data-Driven Model Predictive Control for Coal Blending System of Coking Process

Xiangyu Hou, Dewei Li, Shaoying He, Aoyun Ma

In the coal coking process, coal blending refers to the procedure of mixing different individual coal types from storage bins in specific proportions. The system controls the mass flow rate of each coal type to maintain the blending ratio, which is essential …

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Sensitivity Analysis and Application of the Shanghai Model in Ultra-Deep Excavation Engineering

Aoyun Ma, Weiyi Wang, Wenxuan Zhu, Zhonghua Xu et autres

In deep foundation pit engineering, the soil undergoes a complex stress path, encompassing both loading and unloading phases. The Shanghai model, an advanced constitutive model, effectively accounts for the soil’s deformation characteristics under these varied stress paths, which is essential for accurately …

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The Improvement of Data Selection Method in Data-Driven Model Predictive Control of Uncertain Systems

Y NI, Aoyun Ma, Dewei Li

Data quality is pivotal for the performance of data-driven model predictive control systems. While traditional data processing methods, such as cleaning and enrichment, are necessary, they do not always improve the controller performance. To tackle this problem, this paper introduces a new …

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Event‐triggered distributed model predictive control for PWA systems

Aoyun Ma, Dewei Li, Yugeng Xi

Abstract The online computational burden and control performance are two main issues in implementing distributed model predictive control for piecewise affine systems. In the previous research, many methods have been proposed to solve these issues, such as a one‐step distributed model predictive …

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The Input-Mapping-Based Online Learning Sliding Mode Control Strategy With Low Computational Complexity

Yaru Yu, Aoyun Ma, Yugeng Xi, Furong Gao

The data-driven sliding mode control (SMC) method proves to be highly effective in addressing uncertainties and enhancing system performance. In our previous work, we implemented a co-design approach based on an input-mapping data-driven technique, which effectively improves the convergence rate through historical …

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Explicit Predictive Control of Forward DC-DC Converter Based on an Input-Mapping Method

Xiang Gu, Dewei Li, Aoyun Ma, Yaru Yu

In the practical application of model predictive control in power electronics, both online computational burden and model accuracy are crucial. This paper presents an explicit model predictive control method based on input-mapping method. To address the issue of parameter drift in the …

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Sliding Mode-based Two-Dimensional Iterative Learning Control for Systems with Uncertainties and External Disturbances

Yun Yaru, Dewei Li, Aoyun Ma, Furong Gao

This paper proposes a sliding mode-based two-dimensional (2D) iterative learning control (ILC) strategy for discrete- time batch process systems challenged by uncertainties and external disturbances. Considering the repetitive nature of batch process systems, the ILC method shows significant advantages. Given the presence …

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Online Data-Driven Input Mapping Mixed Platoon Control With Variable Order Model

Yunwen Xu, Dewei Li, Shaoying He, Aoyun Ma

This paper investigates the longitudinal control problem of the mixed platoon consisting of human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs) in the multi-lane freeway. In most of the existing studies, the stochastic behavior of HDVs, including lane changing and cut-in, are …

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A co-design method of online learning SMC law via an input-mapping strategy

Yaru Yu, Dewei Li, Dongya Zhao, Yugeng Xi et autres

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