Showing papers in "Journal of Control and Decision in 2018"

A rewriting system for convex optimization problems

Abstract: We describe a modular rewriting system for translating optimization problems written in a domain-specific language (DSL) to forms compatible with low-level solver interfaces. Translation is facilit...

Energy optimization in the wake of China Pakistan Economic Corridor (CPEC)

Abstract: The energy crisis has become a significant bottleneck in the country’s economic progress. But to end this age old problem, we have to capitalize on the chance, China Pakistan Economic Corridor (CPEC) investment provides, to its full potential. This study aims to help Pakistani government in selecting the best set of CPEC energy priority projects to be completed in the first wave of development. The second part of the research guides the small/medium scale industry and business owners to select the best available alternative for tackling the energy shortfall while CPEC projects are in the process of materialization. Forecasting electricity shortfall decrease and its impact on various economic/industrial sectors (like services, industrial, textile and agriculture) is also performed to gauge the effect of CPEC on the economy using linear regression. For decision analysis, the MCDM techniques employed are (AHP) along with (TOPSIS). This research generated a new list of recommended CPEC energy priority...

Selection of suitable site in Pakistan for wind power plant installation using analytic hierarchy process (AHP)

Abstract: Rise in environmental pollution is a critical problem faced by mankind today. Many interventions have been made to reduce the carbon emissions and other greenhouse gases. Interventions, such as the...

Research on pricing, service and logistic decision-making of E-supply chain with ‘Free Shipping’ strategy

Abstract: Considering the cost of logistic service and the ‘Free Shipping’ strategy, two models of E-supply chain, respectively dominated by e-commerce platform or manufacturer are constructed, and the optim...

Observer design for descriptor networked control systems with unknown and partially known inputs

Abstract: Sufficient conditions are given for the existence of unknown and partially known input normal and descriptor observers for a class of descriptor discrete time networked control systems. It is shown...

Challenges and solutions in automotive powertrain systems

Abstract: Automotive powertrain mainly consisting of combustion engine, motor and battery (i.e. special for hybrid powertrain) is a very complicated integration system, and the research on the automotive pow...

Sensored and sensorless scalar-control strategy of a wind-driven BDFRG for maximum wind-power extraction

Abstract: This paper presents a scalar volt per hertz (V/f) control technique for maximum power tracking of a grid-connected wind-driven brushless doubly fed reluctance generator (BDFRG). The proposed generator has two stator windings namely; power winding, directly connected to the grid and control winding, connected to the grid through a bi-directional converter. In order to enhance the performance of the proposed scalar-control strategy, a soft starting method is suggested to avoid the over-current of the bi-directional converter. Moreover, the capability of generator speed estimation for sensorless control is also studied. The capability of the proposed scalar-control technique is validated using a sample of simulation results. In addition, the presented simulation results ensure the effectiveness of the proposed control strategy for maximum wind-power extraction under wind-speed variations. Furthermore, the results show that the estimated generator speed is in a good accordance with the actual generato...

Gravitational search algorithm-based fuzzy control for a nonlinear ball and beam system

Abstract: In recent decades, fuzzy logic and its application for stabilising nonlinear systems have had a great development. In this paper, a novel optimal fuzzy controller is provided to control a ball and beam system. The fuzzy control force is calculated via a fuzzy system based on the singleton fuzzifier, the centre average defuzzifier and the product inference engine. To further improve the control performance, the Gravitational Search Algorithm is applied to optimise the controller parameters. The obtained simulation results indicate that the proposed scheme can provide a better performance in the case of convergence rate and accuracy in comparison with those of other recently published works.

Integrated guidance and control with input saturation and disturbance observer

Abstract: In presence of input saturation, a novel integrated guidance and control (IGC) law based on the backstepping technique is proposed for missiles attacking manoeuvring target in this paper. A modifie...

Robust mode-dependent control for discrete-time singular Markovian jump systems with time-varying delay

Abstract: This study investigates the problem of robust mode-dependent control for a class of discrete-time singular Markovian jump systems with time-varying delay. Using the Lyapunov functional method and delay decomposition approach, Linear matrix inequality (LMI)-based sufficient conditions for the stochastic stability and robust mode-dependent control are developed, which guarantee the considered systems to be regular, causal and stochastically stabilisable. Finally, numerical examples are presented to demonstrate the effectiveness and advantages of the theoretical results.

Integrated control of highway traffic flow

Abstract: Several efforts have been made during recent years on the control of traffic flow using ramp metering, variable speed limit and lane change control. Most of these techniques reported significant tr...

A benchmark system to investigate the non-minimum phase behaviour of multi-input multi-output systems

Abstract: In this paper, the problem of designing a multi-input multi-output (MIMO) system for studying the non-minimum phase (NMP) behaviour is considered. For this purpose, a NMP MIMO circuit is proposed and studied under different conditions. The main reason for designing this circuit is the lack of a simple and flexible benchmark for examining different control methods. Due to the simple structure and capability of showing different NMP characteristics, our proposed system is a suitable choice to study the behaviour of these systems. Also, our proposed system can be extended by series and parallel connections to generate more complicated benchmarks. The other advantages of this system are the large number of tunable parameters, adjustable interaction, variable number of poles and zeros, and inexpensive cost. Moreover, this benchmark can be used as a tool for hardware simulation. Finally, an optimal decoupling control is applied to this benchmark to verify its effectiveness.

Review and recent development of internal model design

Abstract: Robust output regulation is a controller design theory for achieving reference tracking and disturbance rejection as well as system stability. The main feature of the theory is that the reference a...

A novel dynamic proportional-type iterative learning control design for non-linear systems

Abstract: This paper presents a model-free adaptive iterative learning control (ILC) scheme called a proportional-type ILC scheme for non-linear systems. The obvious characteristic of the proposed ILC scheme is that we can easily finish the ILC task just utilising the Lipschitz constant of the system. In the proposed ILC scheme, the time-vary learning gain can be produced merely by input and output (I/O) measurements. Moreover, the convergence conclusion can be expressed by the ranges of the pseudo-partial derivative and the learning gain. In actual operation, a reasonable and useful convergence condition by a constant is also provided for selection. At last, the effectiveness of the proposed ILC scheme is shown by simulations.

Performance Bounds for Nash Equilibria in Submodular Utility Systems with User Groups

Abstract: It is shown that for a valid non-cooperative utility system, if the social utility function is submodular, then any Nash equilibrium achieves at least 1 / 2 of the optimal social utility, subject to a function-dependent additive term. Moreover, if the social utility function is nondecreasing and submodular, then any Nash equilibrium achieves at least of the optimal social utility, where c is the curvature of the social utility function. In this paper, we consider variations of the utility system considered by Vetta, in which users are grouped together. Our aim is to establish how grouping and cooperation among users affect performance bounds. We consider two types of grouping. The first type is from a previous paper, where each user belongs to a group of users having social ties with it. For this type of utility system, each user’s strategy maximises its social group utility function, giving rise to the notion of social-aware Nash equilibrium. We prove that this social utility system yields to the boundin...

Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads

Abstract: This work investigates an uncertainty quantification (UQ) framework that analyses the uncertainty involved in modelling control systems to improve control strategy performance. The framework involves solving four problems: identifying uncertain parameters, propagating uncertainty to the quantity of interest, data assimilation and making decisions under quantified uncertainties. A specific group of UQ approaches, known as the ensemble-based methods, are adopted to solve these problems. This UQ framework is applied to coordinating a group of thermostatically controlled loads, which relies on simulating a second-order equivalent thermal parameter model with some uncertain parameters. How this uncertainty affects the prediction and the control of total power is examined. The study shows that uncertainty can be effectively reduced using the measurement of air temperatures. Also, the control objective is achieved fairly accurately with a quantification of the uncertainty.

Distributed schemes for efficient deployment of price-responsive demand with partial flexibility

Abstract: This paper presents novel methodologies for efficient deployment of flexible demand. Large populations of price-responsive loads are coordinated through a price signal and a power constraint broadcast by a central entity. Such quantities are designed in order to minimise a global objective function (e.g. total generation costs) and ensure a one-step convergence to a stable solution, characterised as a Nash equilibrium. Conditions for the sought equilibrium are preliminarily expressed as monotonicity of demand profiles under reordered coordinates and then they are imposed as constraints of a global optimisation, whose solution is calculated numerically. To reduce the computational complexity of the problem in scenarios with high penetration of flexible demand, clustering of the appliances is introduced. The global properties of the final stable solution and its optimality with respect to the task times of the appliances are analysed both theoretically and through simulation results.

Simulation and experimental research on methods to suppress ferroresonance in potential transformers

Abstract: Ferroresonance in distribution networks is usually hard to be identified and predicted because it is nonlinear and dependent on multiple factors and conditions. This study discusses different commo...

A novel D-type iterative learning control design for antilinear systems

Abstract: In this paper, a novel D-type iterative learning control (ILC) law is proposed for discrete-time antilinear systems. This D-type control law is different from the previous linear (nonlinear) D-type ILC law. The main feature is that we take the conjugate of the -th error to construct the proposed controller. The convergence proofs are given for their corresponding ILC schemes.