
Shuhua GaoShandong University | SDU · School of Control Science and Engineering
Shuhua Gao
Doctor of Philosophy
About
37
Publications
8,926
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207
Citations
Introduction
My research focuses on the optimal control of logical systems, optimal energy management (e.g., microgrids, electric vehicle fleet), and the industrial application of artificial intelligence.
Additional affiliations
Education
August 2015 - August 2019
September 2012 - June 2015
August 2008 - June 2012
Publications
Publications (37)
In the evolving landscape of energy systems, microgrids play a pivotal role in enhancing electricity supply efficiency and integrating renewable energy. This study addresses the critical challenge of balancing operational costs with carbon emissions reduction in microgrid energy management. We formulate this as a bi-objective optimization problem a...
Reconstructing the topology of gene regulatory network from gene expression data has been extensively studied. With the abundance functional transcriptomic data available, it is now feasible to systematically decipher regulatory interaction dynamics in a logic form such as a Boolean network (BN) framework, which qualitatively indicates how multiple...
This study investigates economical scheduling of charging for an electric vehicle (EV) in a typical household with an intelligent charging management system. The problem formulation considers rooftop solar power generation, time-varying domestic energy consumption, real-time pricing of electricity, and user preferences. This task traditionally take...
This paper presents an efficient approach for minimum-time control of Boolean control networks (BCNs) based on graph theory. All three cases of the problem are considered depending on whether the initial state, desired state, or both are fixed. To facilitate the use of graph-theoretical tools, the dynamics of a BCN is first characterized by its sta...
A home energy management system exploits the time-varying electricity tariff and renewable energy profiles to lower residents' electricity bills via wise scheduling of various domestic appliances. This study targets the rather typical case of a general household with solar panels. All four classes of loads are considered, while many existing studie...
Model Predictive Path Integral (MPPI) is a recognized sampling-based approach for finite horizon optimal control problems. However, the efficacy and computational efficiency of prevailing MPPI methods are heavily reliant on the quality of rollouts. This is problematic because it is hard to sample a low-cost trajectory using random control sequences...
This paper investigates the economic operation of a microgrid with a variety of distributed energy resources. Given the intermittency of renewable generation and the high stochasticity in market prices and loads, online power scheduling approaches are generally preferred for their uncertainty handling capacity by exploiting real-time information. T...
Accurate, fast, and reliable parameter estimation is crucial for modeling, control, and optimization of solar photovoltaic (PV) systems. In this paper, we focus on the two most widely used benchmark datasets and try to answer (i) whether the global minimum in terms of root mean square error (RMSE) has already been reached; and (ii) whether a signif...
Recent advances in high-throughput single-cell technologies provide new opportunities for computational modeling of gene regulatory networks (GRNs) with an unprecedented amount of gene expression data. Current studies on the Boolean network (BN) modeling of GRNs mostly depend on bulk time-series data and focus on the synchronous update scheme due t...
This article investigates the finite-horizon optimal control (FHOC) problem of Boolean control networks (BCNs) from a graph theory perspective. We first formulate two general problems to unify various special cases studied in the literature: 1) the horizon length is a priori fixed and 2) the horizon length is unspecified but finite for given destin...
This paper investigates set invariance and optimal set stabilization of Boolean control networks (BCNs) from a novel graph-theoretical perspective. First, we establish the relationship between the control invariant sets and the strongly connected components of the state transition graph (STG) and propose a new algorithm to compute the largest contr...
This study investigates the infinite-horizon optimal control (IHOC) problem for switched Boolean control networks with an average cost criterion. A primary challenge of this problem is the prohibitively high computational cost when dealing with large-scale networks. We attempt to develop a more efficient approach from a novel graph-theoretical pers...
This paper deals with the infinite-horizon optimal control problem for Boolean control networks (BCNs) with a discounted-cost criterion. This problem has been investigated in existing studies with algorithms characterized by high computational complexity. We thus attempt to develop more efficient approaches for this problem from a deterministic Mar...
This study investigates the infinite-horizon optimal control problem for switched Boolean control networks with an average-cost criterion. A primary challenge of this problem is the prohibitively high computational cost when dealing with large-scale networks. We attempt to develop a more efficient and scalable approach from a graph-theoretical pers...
This paper investigates the finite-horizon optimal control (FHOC) problem for Boolean control networks (BCNs) from a graph theory perspective. We first formulate two general problems to unify various special cases studied in the existing literature: (i) the horizon length is \textit{a priori} specified; (ii) the horizon length is unknown but finite...
Voice conversion aims to change a source speaker's voice to make it sound like the one of a target speaker while preserving linguistic information. Despite the rapid advance of voice conversion algorithms in the last decade, most of them are still too complicated to be accessible to the public. With the popularity of mobile devices especially smart...
Many experimental studies have found that human mesenchymal stem cells (MSCs) in long-term culture exhibited enhanced cell proliferation and prolonged lifespan under hypoxia (around 1%–7% oxygen) against the normoxic condition (about 21% oxygen). Inspired by the experimental findings, we aimed to investigate the hypoxic effects on MSC expansion qua...
The analysis results for the other dataset (with MSCs from a 78-year-old male donor) are presented in Table S1 and Figures S1–S3, corresponding to Table 1 and Figures 4
–6 in the main text. Table S2: model parameter values for normoxic and hypoxic conditions fitted from data in experiment A but with 10% nondividing cells at the beginning. Figure S4...
This paper presents a triaxial loading device (TLD), which can apply a triaxial force on the spindle of a three-axis machine tool that is executing a 3-degree-of-freedon feeding motion, aiming at simulating cutting forces applied on the spindle in a machining process. A prototype was fabricated and its kinematics and dynamics were analyzed. An expl...
The multiple model approach provides a powerful tool for identification and control of nonlinear systems. Among different multiple model structures, the piecewise affine (PWA) models have drawn most of the attention in the past two decades. However, there are two major issues for the PWA model-based identification and control: the curse of dimensio...
A 3-axis parallel loading mechanism, which works as a multi-axis load simulator, is proposed for reliability test of multi-axis CNC machine tools by exerting specific load spectrums on the spindle. To achieve efficient loading force control, dynamic model of the 3-DOF translational parallel robot is derived via the virtual work principle and is emb...
Questions
Question (1)
(The question is also posted on MATLAB site (which has a prettier form): https://www.mathworks.com/matlabcentral/answers/585620-simplistic-pv-array-circuit-with-constant-resistance-keeps-oscillating . )
I built an extremely simple circuit to play with the PV array block. The PV array is connected to a resistor. The simulation mode is discrete with step size 5 ms. The voltage, current of the PV array are measured and the corresponding power is calculated. (see the attached figure mppt0-1.png )
I tested three resistance values of the resistor. The finding is that once the resistance approaches the MPP (maximal power point) one, the PV output begins oscillating greatly. The resistance value for MPP is 3.9456 (see mppt-config.png). Even worse, when the actual resistance is greater than 4.3, the PV has no outputs (i.e., all NaN values).
Please see the mppt0-1-scope.png, mppt0-3.85-scope.png, mppt0-3.94-scope.png for results corresponding R = 1, 3.85, and 3.94, respectively. The Simulink model file is also attached.
Could you please give me some suggestions on this issue? Thank you.