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2021 (vol. 31) - Number 3


Vanya R. Barseghyan:

The problem of control of rod heating process with nonseparated conditions at intermediate moments of time



Khadidja Bentata , Ahmed Mohammedi, Tarak Benslimane:

Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition



Jakub Musial, Krzysztof Stebel and Jacek Czeczot:

Self-improving Q-learning based controller for a class of dynamical processes



Ramesh Devarapalli and Vikash Kumar:

Power system oscillation damping controller design: a novel approach of integrated HHO-PSO algorithm



T. Kaczorek:

Poles and zeros assignment by state feedbacks in positive linear systems



Saule Sh. Kazhikenova and Sagyndyk N. Shaltakov, Bekbolat R. Nussupbekov:

Difference melt model



R. Almeida and N. Martins, E. Girejko and A.B. Malinowska, L. Machado:

Evacuation by leader-follower model with bounded confidence and predictive mechanisms



B. Zhao and R. Zhang, Y. Xing:

Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information



Stefan Mititelu, Savin Treanta:

Efficiency in vector ratio variational control problems involving geodesic quasiinvex multiple integral functionals



D.K. Dash and P.K. Sadhu, B. Subudhi:

Spider monkey optimization (SMO) – lattice Levenberg–Marquardt recursive least squares based grid synchronization control scheme for a three-phase PV system



Suresh Rasappan and K.A. Niranjan Kumar:

Dynamics, control, stability, diffusion and synchronization of modified chaotic colpitts oscillator




ACS Abstract:

2021 (Volume 31)
Number 3
1.

The problem of control of rod heating process with nonseparated conditions at intermediate moments of time

2.

Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition

3.

Self-improving Q-learning based controller for a class of dynamical processes

4.

Power system oscillation damping controller design: a novel approach of integrated HHO-PSO algorithm

5.

Poles and zeros assignment by state feedbacks in positive linear systems

6.

Difference melt model

7.

Evacuation by leader-follower model with bounded confidence and predictive mechanisms

8.

Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information

9.

Efficiency in vector ratio variational control problems involving geodesic quasiinvex multiple integral functionals

10.

Spider monkey optimization (SMO) – lattice Levenberg–Marquardt recursive least squares based grid synchronization control scheme for a three-phase PV system

11.

Dynamics, control, stability, diffusion and synchronization of modified chaotic colpitts oscillator



The problem of control of rod heating process with nonseparated conditions at intermediate moments of time

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Vanya R. Barseghyan
(National Academy of Sciences of Armenia)

The problem of control of rod heating process by changing the temperature along the rod whose ends are thermally insulated is considered. It is assumed that, along with the classical boundary conditions, nonseparated multipoint intermediate conditions are also given. Using the method of separation of variables and methods of the theory of control of finite-dimensional systems with multipoint intermediate conditions, a constructive approach is proposed to build the sought function of temperature control action. A necessary and sufficient condition is obtained, which the function of the distribution of the rod temperature must satisfy, so that under any feasible initial, nonseparated intermediate, and final conditions, the problem is completely controllable. As an application of the proposed approach, control action with given nonseparated conditions on the values of the rod temperature distribution function at the two intermediate moments of time is constructed.

keywords: heating control, temperature, intermediate moments of time, nonseparated multipoint conditions, complete controllability

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Development of rapid and reliable cuckoo search algorithm for global maximum power point tracking of solar PV systems in partial shading condition

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Khadidja Bentata
(University of Bouira, Algeria)
Ahmed Mohammedi
(University of Bejaia, Algeria)
Tarak Benslimane
(University of Béchar, Algeria)

The solar photovoltaic output power fluctuates according to solar irradiation, temperature, and load impedance variations. Due to the operating point fluctuations, extracting maximum power from the PV generator, already having a low power conversion ratio, becomes very complicated. To reach a maximum power operating point, a maximum power point tracking technique (MPPT) should be used. Under partial shading condition, the nonlinear PV output power curve contains multiple maximum power points with only one global maximum power point (GMPP). Consequently, identifying this global maximum power point is a difficult task and one of the biggest challenges of partially shaded PV systems. The conventional MPPT techniques can easily be trapped in a local maximum instead of detecting the global one. The artificial neural network techniques used to track the GMPP have a major drawback of using huge amount of data covering all operating points of PV system, including different uniform and non-uniform irradiance cases, different temperatures and load impedances. The biological intelligence techniques used to track GMPP, such as grey wolf algorithm and cuckoo search algorithm (CSA), have two main drawbacks; to be trapped in a local MPP if they have not been well tuned and the precision-transient tracking time complex paradox. To deal with these drawbacks, a Distributive Cuckoo Search Algorithm (DCSA) is developed, in this paper, as GMPP tracking technique. Simulation results of the system for different partial shading patterns demonstrated the high precision and rapidity, besides the good reliability of the proposed DCSAGMPPT technique, compared to the conventional CSA-GMPPT.

keywords: photovoltaic system, maximum power point tracking, partial shading, cuckoo search algorithm

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Self-improving Q-learning based controller for a class of dynamical processes

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Jakub Musial, Krzysztof Stebel and Jacek Czeczot
(Silesian University of Technology, Poland)

This paper presents how Q-learning algorithm can be applied as a general-purpose selfimproving controller for use in industrial automation as a substitute for conventional PI controller implemented without proper tuning. Traditional Q-learning approach is redefined to better fit the applications in practical control loops, including new definition of the goal state by the closed loop reference trajectory and discretization of state space and accessible actions (manipulating variables). Properties of Q-learning algorithm are investigated in terms of practical applicability with a special emphasis on initializing of Q-matrix based only on preliminary PI tunings to ensure bumpless switching between existing controller and replacing Q-learning algorithm. A general approach for design of Q-matrix and learning policy is suggested and the concept is systematically validated by simulation in the application to control two examples of processes exhibiting first order dynamics and oscillatory second order dynamics. Results show that online learning using interaction with controlled process is possible and it ensures significant improvement in control performance compared to arbitrarily tuned PI controller.

keywords: process control, Q-learning algorithm, reinforcement learning, intelligent control, on-line learning

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Power system oscillation damping controller design: a novel approach of integrated HHO-PSO algorithm

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Ramesh Devarapalli and Vikash Kumar
(B.I.T. Sindri, Dhanbad, Jharkhand, India)

The hybridization of a recently suggested Harris hawk’s optimizer (HHO) with the traditional particle swarm optimization (PSO) has been proposed in this paper. The velocity function update in each iteration of the PSO technique has been adopted to avoid being trapped into local search space with HHO. The performance of the proposed Integrated HHO-PSO (IHHOPSO) is evaluated using 23 benchmark functions and compared with the novel algorithms and hybrid versions of the neighbouring standard algorithms. Statistical analysis with the proposed algorithm is presented, and the effectiveness is shown in the comparison of grey wolf optimization (GWO), Harris hawks optimizer (HHO), barnacles matting optimization (BMO) and hybrid GWO-PSO algorithms. The comparison in convergence characters with the considered set of optimization methods also presented along with the boxplot. The proposed algorithm is further validated via an emerging engineering case study of controller parameter tuning of power system stability enhancement problem. The considered case study tunes the parameters of STATCOM and power system stabilizers (PSS) connected in a sample power network with the proposed IHHOPSO algorithm. A multi-objective function has been considered and different operating conditions has been investigated in this papers which recommends proposed algorithm in an effective damping of power network oscillations.

keywords: Harris hawk optimization, Power system stabilizers, STATCOM, FACTS, particle swarm optimization

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Poles and zeros assignment by state feedbacks in positive linear systems

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T. Kaczorek
(Białystok University of Technology, Poland)

Poles and zeros assignment problem by state feedbacks in positive continuous-time and discrete-time systems is analyzed. It is shown that in multi-input multi-output positive linear systems by state feedbacks the poles and zeros of the transfer matrices can be assigned in the desired positions. In the positive continuous-time linear systems the feedback gain matrix can be chosen as a monomial matrix so that the poles and zeros of the transfer matrices have the desired values if the input matrix B is monomial. In the positive discrete-time linear systems to solve the problem the matrix B can be chosen monomial if and only if in every row and every column of the n x  n system matrix A the sum of n-1 its entries is less than one.
 

keywords: assignment, pole, zero, transfer matrix, linear, positive, system, state feedback

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Difference melt model

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Saule Sh. Kazhikenova and Sagyndyk N. Shaltakov
(Karaganda Technical University, Kazakhstan)
Bekbolat R. Nussupbekov
(Karaganda University E.A. Buketov, Kazakhstan)

The basic objective of the research is to construct a difference model of the melt motion. The existence of a solution to the problem is proven in the paper. It is also proven the convergence of the difference problem solution to the original problem solution of the melt motion. The Rothe method is implemented to study the Navier–Stokes equations, which provides the study of the boundary value problems correctness for a viscous incompressible flow both numerically and analytically.

keywords: Navier?Stokes equations, hydrodynamic, approximations, mathematical models, melt

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Evacuation by leader-follower model with bounded confidence and predictive mechanisms

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R. Almeida and N. Martins
(University of Aveiro, Portugal)
E. Girejko and A.B. Malinowska
(Bialystok University of Technology, Poland)
L. Machado
(University of Trás-os-Montes e Alto Douro, Portugal)

This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.

keywords: multi-agent systems, emergency, model predictive control, bounded confidence

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Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information

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B. Zhao and R. Zhang
(Beijing Jiaotong University, China)
Y. Xing
(DongHua University, China)

In modern society, people concern more about the evaluation of medical service quality. Evaluation of medical service quality is helpful for medical service providers to supervise and improve their service quality. Also, it will help the public to understand the situation of different medical providers. As a multi-criteria decision-making (MCDM) problem, evaluation of medical service quality can be effectively solved by aggregation operators in interval-valued q-rung dual hesitant fuzzy (IVq-RDHF) environment. Thus, this paper proposes interval-valued q-rung dual hesitant Maclaurin symmetric mean (IVq-RDHFMSM) operator and interval-valued q-rung dual hesitant weighted Maclaurin symmetric mean (IVq-RDHFWMSM) operator. Based on the proposed IVq-RDHFWMSM operator, this paper builds a novel approach to solve the evaluation problem of medical service quality including a criteria framework for the evaluation of medical service quality and a novel MCDM method. What’s more, aiming at eliminating the discordance between decision information and weight vector of criteria determined by decisionmakers (DMs), this paper proposes the concept of cross-entropy and knowledge measure in IVq-RDHF environment to extract weight vector from DMs’ decision information. Finally, this paper presents a numerical example of the evaluation of medical service for hospitals to illustrate the availability of the novel method and compares our method with other MCDM methods to demonstrate the superiority of our method. According to the comparison result, our method has more advantages than other methods.

keywords: interval-valued q-rung dual hesitant fuzzy set, Maclaurin symmetric mean operator, multi-criteria decision-making; aggregation operators

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Efficiency in vector ratio variational control problems involving geodesic quasiinvex multiple integral functionals

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Savin Treanta
(University "Politehnica" of Bucharest, Romania)
Stefan Mititelu
(Technical University of Civil Engineering, Bucharest, Romania)

In this paper, we introduce necessary and sufficient efficiency conditions associated with a class of multiobjective fractional variational control problems governed by geodesic quasiinvex multiple integral functionals and mixed constraints containing m-flow type PDEs. Using the new notion of (normal) geodesic efficient solution, under (ρ; b)-geodesic quasiinvexity assumptions, we establish sufficient efficiency conditions for a feasible solution.

keywords: multiobjective fractional control problem; geodesic efficient solution; (?; b)- geodesic quasiinvexity

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Spider monkey optimization (SMO) – lattice Levenberg–Marquardt recursive least squares based grid synchronization control scheme for a three-phase PV system

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D.K. Dash and P.K. Sadhu
(Indian Institute of Technology, India)
B. Subudhi
(Indian Institute of Technology Goa, India)

This paper presents a new grid integration control scheme that employs spider monkey optimization technique for maximum power point tracking and Lattice Levenberg Marquardt Recursive estimation with a hysteresis current controller for controlling voltage source inverter. This control scheme is applied to a PV system integrated to a three phase grid to achieve effective grid synchronization. To verify the efficacy of the proposed control scheme, simulations were performed. From the simulation results it is observed that the proposed controller provides excellent control performance such as reducing THD of the grid current to 1.75%.

keywords: solar PV array, VSC, SMO, DC-DC converter, lattice Levenberg?Marquardt recursive least squares; hysteresis current controller

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Dynamics, control, stability, diffusion and synchronization of modified chaotic colpitts oscillator

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Suresh Rasappan and K.A. Niranjan Kumar
(Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India)

The purpose of this paper is to introduce a new chaotic oscillator. Although different chaotic systems have been formulated by earlier researchers, only a few chaotic systems exhibit chaotic behaviour. In this work, a new chaotic system with chaotic attractor is introduced. It is worth noting that this striking phenomenon rarely occurs in respect of chaotic systems. The system proposed in this paper has been realized with numerical simulation. The results emanating from the numerical simulation indicate the feasibility of the proposed chaotic system. More over, chaos control, stability, diffusion and synchronization of such a system have been dealt with.

keywords: chaos, Colpitts oscillator, Lyapunov exponent, diffusion, stability, synchronization

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