Yeng Chai Soh
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View article: Chance-constrained solar PV hosting capacity assessment for distribution grids using Gaussian Process and Logit learning
Chance-constrained solar PV hosting capacity assessment for distribution grids using Gaussian Process and Logit learning Open
Growing penetration of distributed generation such as solar PV can increase the risk of over-voltage in distribution grids, affecting network security. Therefore, assessment of the so-called, PV hosting capacity (HC) - the maximum amount o…
View article: Chance-constrained Solar PV Hosting Capacity Assessment for Distribution Grids Using Gaussian Process and Logit Learning
Chance-constrained Solar PV Hosting Capacity Assessment for Distribution Grids Using Gaussian Process and Logit Learning Open
Growing penetration of distributed generation such as solar PV can increase the risk of over-voltage in distribution grids, affecting network security. Therefore, assessment of the so-called, PV hosting capacity (HC) - the maximum amount o…
View article: Robust Adaptive Anchor Points and Bipartite Graph Learning for Image Clustering
Robust Adaptive Anchor Points and Bipartite Graph Learning for Image Clustering Open
View article: Optimal Stochastic H∞ Controller Synthesis via LQR Theory
Optimal Stochastic H∞ Controller Synthesis via LQR Theory Open
Existing published works on H∞ and mixed H∞/H2 control generally solve the problem via game theory and saddle-point solutions. We provide an alternative solution via the stochastic LQR approach. Specifically, we consider the problem of H∞ …
View article: Adaptive fault-tolerant tracking control for MIMO nonlinear systems with time-varying full state constraints
Adaptive fault-tolerant tracking control for MIMO nonlinear systems with time-varying full state constraints Open
View article: Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches
Predicting and Optimizing for Energy Efficient ACMV Systems: Computational Intelligence Approaches Open
In this study, a novel application of neural networks that predict thermal comfort states of occupants is proposed with accuracy over 95%, and two optimization algorithms are proposed and evaluated under two real cases (general offices and…
View article: Bayesian filtering for building occupancy estimation from carbon dioxide concentration
Bayesian filtering for building occupancy estimation from carbon dioxide concentration Open
View article: A Dual Splitting Approach for Distributed Resource Allocation With Regularization
A Dual Splitting Approach for Distributed Resource Allocation With Regularization Open
We deal with a class of distributed resource allocation problems where each agent attempts to minimize its own cost while respecting network-wide resource constraints as well as local capacity limits. This problem arises from many areas, s…
View article: DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation
DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation Open
To alleviate traffic congestion in urban areas, electronic toll collection (ETC) systems are deployed all over the world. Despite the merits, tolls are usually pre-determined and fixed from day to day, which fail to consider traffic dynami…
View article: Distributed multi-task classification: a decentralized online learning approach
Distributed multi-task classification: a decentralized online learning approach Open
View article: Output-feedback H<inf>∞</inf> consensus of linear multi-agent systems over general directed graphs
Output-feedback H∞ consensus of linear multi-agent systems over general directed graphs Open
This paper studies the design of dynamic output-feedback protocols for H ∞ consensus of homogeneous linear multi-agent systems over general directed graphs. Except for the consensus objective when no disturbance exists, the desi…
View article: Design of output-feedback protocols for robust consensus of uncertain linear multi-agent systems
Design of output-feedback protocols for robust consensus of uncertain linear multi-agent systems Open
This paper deals with robust consensus of uncertain linear multi-agent systems via dynamic output-feedback protocols. Agents are assumed to have identical nominal linear time-invariant dynamics but are subject to heterogeneous additive sta…
View article: Output-feedback protocols without controller interaction for consensus of homogeneous multi-agent systems: A unified robust control view
Output-feedback protocols without controller interaction for consensus of homogeneous multi-agent systems: A unified robust control view Open
View article: Development of a novel strategy of CFD-based model predictive control
Development of a novel strategy of CFD-based model predictive control Open
With increasing energy consumption, growing attentions are given to reduce the carbon footprint in the world. The building sector is always one of the largest energy end user in many developed countries. Energy management of heating, venti…
View article: Performance characterization of the membrane-based energy recovery system
Performance characterization of the membrane-based energy recovery system Open
Recently, the energy conservation demand attracted much attention, due to the depletion of energy resource and environmental impact caused by the increase in energy consumption. As well know, the heating, ventilation, and air-conditioning …
View article: CFD results calibration from sparse sensor observations with a case study for indoor thermal map
CFD results calibration from sparse sensor observations with a case study for indoor thermal map Open
Current CFD calibration work has mainly focused on the CFD model calibration. However no known work has considered the calibration of the CFD results. In this paper, we take inspiration from the image editing problem to develop a methodolo…
View article: Numerical analysis and model-based control of energy recovery ventilator in HVAC system
Numerical analysis and model-based control of energy recovery ventilator in HVAC system Open
In recent years, the energy conservation demand attracted much attention due to the depletion of energy resource and environmental impact by increasing energy consumption. In particular, heating, ventilation, and air-conditioning (HVAC) sy…
View article: On assuming Mean Radiant Temperature equal to air temperature during PMV-based thermal comfort study in air-conditioned buildings
On assuming Mean Radiant Temperature equal to air temperature during PMV-based thermal comfort study in air-conditioned buildings Open
Mean Radiant Temperature (MRT) is an important factor of Fanger's PMV model, which is the most popular method to study human thermal comfort. However, it has often been a practice to assume MRT equal to air temperature (Ta) during indoor t…
View article: A Bregman Splitting Algorithm for Distributed Optimization over Networks
A Bregman Splitting Algorithm for Distributed Optimization over Networks Open
We consider distributed optimization problems in which a group of agents are to collaboratively seek the global optimum through peer-to-peer communication networks. The problem arises in various application areas, such as resource allocati…
View article: Indoor occupancy estimation from carbon dioxide concentration
Indoor occupancy estimation from carbon dioxide concentration Open
This paper presents an indoor occupancy estimator with which we can estimate the number of real-time indoor occupants based on the carbon dioxide (CO2) measurement. The estimator is actually a dynamic model of the occupancy level. To ident…
View article: Sensor Placement by Maximal Projection on Minimum Eigenspace for Linear Inverse Problems
Sensor Placement by Maximal Projection on Minimum Eigenspace for Linear Inverse Problems Open
This paper presents two new greedy sensor placement algorithms, named minimum\nnonzero eigenvalue pursuit (MNEP) and maximal projection on minimum eigenspace\n(MPME), for linear inverse problems, with greater emphasis on the MPME\nalgorith…
View article: Distributed Inference for Relay-Assisted Sensor Networks With Intermittent Measurements Over Fading Channels
Distributed Inference for Relay-Assisted Sensor Networks With Intermittent Measurements Over Fading Channels Open
In this paper, we consider a general distributed estimation problem in relay-assisted sensor networks by taking into account time-varying asymmetric communications, fading channels and intermittent measurements. Motivated by centralized fi…
View article: Distributed Parameter Estimation With Quantized Communication via Running Average
Distributed Parameter Estimation With Quantized Communication via Running Average Open
In this paper, we consider the parameter estimation problem over sensor\nnetworks in the presence of quantized data and directed communication links. We\npropose a two-stage algorithm aiming at achieving the centralized sample mean\nestima…
View article: Decoupled current control and sensor fault detection with second‐order sliding mode for induction motor
Decoupled current control and sensor fault detection with second‐order sliding mode for induction motor Open
This study proposes a new decoupled control method for induction motor (IM) based on higher order sliding mode (HOSM) controller. The proposed controller serves dual purpose by offering decoupled control and sensor fault detection. In this…
View article: Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization
Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization Open
Location-based services (LBS) have attracted a great deal of attention recently. Outdoor localization can be solved by the GPS technique, but how to accurately and efficiently localize pedestrians in indoor environments is still a challeng…