- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Stability and Controllability of Differential Equations
- Control Systems and Identification
- Neural Networks Stability and Synchronization
- Microgrid Control and Optimization
- Control and Stability of Dynamical Systems
- Matrix Theory and Algorithms
- Frequency Control in Power Systems
- Power System Optimization and Stability
- Advanced Control Systems Design
- Numerical methods for differential equations
- Smart Grid Energy Management
- Distributed Control Multi-Agent Systems
- Fractional Differential Equations Solutions
- Electric Vehicles and Infrastructure
- Machine Fault Diagnosis Techniques
- Nonlinear Differential Equations Analysis
- Smart Grid Security and Resilience
- Advanced Memory and Neural Computing
- Multilevel Inverters and Converters
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Battery Technologies Research
Deakin University
2016-2025
The University of Sydney
2025
Vietnam Academy of Science and Technology
2023
The University of Melbourne
1991-2014
The University of Western Australia
2013-2014
James Cook University
1997-2002
This paper presents a load frequency control scheme using electric vehicles (EVs) to help thermal turbine units provide the stability fluctuated by demands. First, general framework for deriving state-space model power system topologies is given. Then, detailed of four-area incorporating smart and renewable discharged EVs presented. The areas within are interconnected via combination alternating current/high voltage direct current links thyristor controlled phase shifters. Based on some...
As the climate crisis worsens, power grids are gradually transforming into a more sustainable state through renewable energy sources (RESs), storage systems (ESSs), and smart loads. Virtual plants (VPP) an emerging concept that can flexibly integrate distributed resources (DERs), managing manage output of each DER unit, as well consumption loads, to balance electricity supply demand in real time. VPPs participate markets, enable self-scheduling RESs, facilitate trading sharing, provide...
The design of a minimum-order linear functional observer for time-invariant systems has been an open problem over four decades. This technical note provides solution to this problem. also introduces the concept <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Functional Observability/Detectability</i> and shows that well-known Observability/Detectability is special case .
This paper presents two novel Lyapunov functionals for analyzing the stability of neural networks with time-varying delay. Based on our newly proposed and a relaxed Wirtinger-based integral inequality, new criteria are derived in form linear matrix inequalities. A comprehensive comparison results is given to illustrate from both conservative computational complexity point views.
In this study, the authors derive some new refined Jensen-based inequalities, which encompass both Jensen inequality and its most recent improvement based on Wirtinger integral inequality. The potential capability of approach is demonstrated through applications to stability analysis time-delay systems. More precisely, by using newly derived they establish criteria for two classes systems, namely discrete distributed constant delays systems interval time-varying delay resulting conditions...
In this study, by using a characterisation of functions having fractional derivative, the authors propose rigorous Lyapunov function candidate method to analyse stability fractional-order nonlinear systems. First, they prove an inequality concerning derivatives convex without assumption existence derivative pseudo-states. Second, establish systems global solutions. Their theorems fill gaps and strengthen results in some existing papers.
This paper presents a novel particle filter based dynamic state estimation scheme for power systems where the states of all generators are estimated. The proposed is decentralized in that each module independent from others and only uses local measurements. implementation makes numerically simple to implement. What this method superior previous methods which mainly on Kalman filtering technique can still remain smooth accurate presence noise with unknown changes covariance values. Moreover,...
This paper presents some results on the global exponential stabilization for neural networks with various activation functions and time-varying continuously distributed delays. Based augmented Lyapunov-Krasovskii functionals, new delay-dependent conditions are obtained in terms of linear matrix inequalities. A numerical example is given to illustrate feasibility our results.
In this paper, for the first time, electric vehicles are used both primary and secondary frequency controls to support power plants rapidly suppress fluctuations in system due load disturbances. Via networked control wide-area communication infrastructures, multiple interval time-varying delays exist channels between center, plant, an aggregation of vehicles. By coordinating batteries' state charge control, behaviors vehicle owners uncertainties imposed by changes taken into consideration. A...
Using a novel approach, we get explicit criteria for exponential stability of linear neutral time-varying differential systems. A brief discussion to the obtained results is given. To best our knowledge, this technical note are new.
This study addresses the observer design problem for a class of one-sided Lipschitz time-delay systems in presence unknown inputs. The non-linearities are assumed to satisfy and quadratically inner-bounded conditions; hence, wider non-linear is investigated this work. A novel approach subject time delays disturbances proposed. Both H∞ asymptotic with reduced-order introduced. To deal issue, Wirtinger-based integral inequality, which encompasses Jensen employed derive less conservative...
This study proposes a double-stage double-layer optimization model for virtual power plant (VPP) consisting of interconnected microgrids (IMGs) with integrated renewable energy sources (RESs) and storage systems (ESSs) to realize demand-side ancillary service, considering intra sharing among the IMGs within VPP. In particular, first stage, day-ahead scheduling, is carried out predict hourly electricity consumption baseline regulation capacity next day, latter which results in reward from...
We consider the event-triggered state and disturbance simultaneous estimation problem for Lipschitz nonlinear systems with an unknown time-varying delay in vector. For first time, can be robustly estimated by using observer. Our method uses only information of output vector when condition is satisfied. This contrasts previous methods based on augmented observers where was assumed to always continuously available. salient feature, thus, lessens stress communication resources while still...