Nauki Techniczne

Archives of Control Sciences

Zawartość

Archives of Control Sciences | 2025 | Vol. 35 | No 3

Abstrakt

We consider the problem of global finite-time stability for a class of nonlinear systems. The novelty in this paper is to consider a nonlinear finite time observer design, which introduces a finite-time observer for nonlinear systems that can be put into a nonlinear canonical form up to an output injection. The proof is based on the Lyapunov theory for Finite-Time Stability and the observer design method.
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Autorzy i Afiliacje

Abdessalem Bouzidi
1
Thouraya Kharrat
1

  1. University of Sfax, Faculty of Sciences of Sfax-Tunisia, Soukra Road,km 3.5, 3000 Sfax – Tunisia.

Abstrakt

A fully coupled six degrees of freedom modelling of a tactical missile and an optimal control theory-based method are presented aiming at minimizing the autopilot control effort and improving the accuracy of reaching the target by a missile guidance system. A state-dependent Riccati equation-based regulator of controls deflection with an infinite time horizon is employed and its appropriateness for this type of a problem clarified. With the purpose of improving the precision of the autopilot system using a classic three-loop approach, a nonlinear statedependent optimal feedback compensation with anti-windup system has been used incorporating measurements from an accelerometer and gyro rates. The simulated results for the missile model and optimal autopilot structure are compared with classic three-loop autopilot approach in a guidance system.
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Autorzy i Afiliacje

Tadeusz Mikutel
1
ORCID: ORCID
Sławomir Stępień
1
ORCID: ORCID
Jan Sykulski
2
ORCID: ORCID

  1. Air ForceInstitute of Technology, Księcia Bolesława 6, 01-494 Warsaw, Poland
  2. University of Southampton, Southampton, SO17 1BJ, United Kingdom

Abstrakt

Sustainability has recently grown to be a primary focus for transport planning and policies in both developing and developed nations. The paper focuses on the sustainability of a multiobjective linear fractional fixed charge transportation model that utilizes trapezoidal intuitionistic fuzzy numbers to define all the variables and parameters. A novel approach, which has three stages, is presented based on the amalgamation of fuzzy AHP and goal programming techniques. The first stage streamlines the proposed model by employing arithmetic operations for trapezoidal intuitionistic fuzzy numbers, thus converting the fuzzy constraints into crisp ones. In stage two, the model undergoes further transformation into a linear optimization model by utilizing the goal programming approach and linearization technique. The third stage describes how the weights are derived using fuzzy AHP, which are then assigned to objectives. To support the proposed methodology, an application in the sugar mill industry has been illustrated by designing a sustainable transport infrastructure. The solution of the obtained model is computed using easily accessible software. A comparison is drawn between the proposed and existing techniques, and it is concluded that the proposed methodology gives the minimum transportation cost compared to the existing methods.
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Autorzy i Afiliacje

Sakshi Dhruv
1
Ritu Arora
2
Shalini Arora
1
S.A. Edalatpanah
3

  1. Department of Applied Sciences and Humanities, Indira Gandhi Delhi Technical University forWomen, Kashmere Gate, New Delhi-110006, India
  2. Department of Mathematics,Keshav Mahavidyalaya, University of Delhi, Pitampura, New Delhi-110034, India
  3. Department of Applied Mathematics,Ayandegan Institute of Higher Education, Tonekabon, 4681853617, Iran and, with Department of Mathematics,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai-602105,India

Abstrakt

This paper presents a novel heuristic approach to the Flexible Job-Shop Scheduling Problem (FJSP), incorporating sequence-dependent setup and transportation times, as well as machine efficiency constraints. The objective of the optimization was to minimize the total makespan of the job scheduling process. To solve this problem, a computational tool was developed, which implemented a new heuristic method based on a sequential algorithm, alongside selected priority assignment rules (FIFO, LIFO, LPT, SPT, EDD, LWR). The effectiveness of the generated schedules was evaluated using multiple criteria. Comparative numerical results were presented for various problem parameters and priority rules, demonstrating the performance and advantages of the proposed approach.
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Autorzy i Afiliacje

Jolanta Krystek
1
Adam Geppert
2

  1. Faculty of Automatic Control,Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100 Gliwice,Poland
  2. Websited sp. z o.o., Ligonia 1/1, 44-100 Gliwice,Poland

Abstrakt

In this paper a variant of Vehicle Routing Problem with Pickup and Delivery for parcel locker-based delivery is considered. The mathematical model of the problem is formulated with a bi-criteria goal function to minimize both the total distance traveled by all vehicles and the maximal order delivery time. The model assumes alternative delivery locations, where the order has to be delivered to the closest locations where its originally indented location has no available lockers left. The problem considers two types of orders (delivery and pickup) and accounts for vehicle and locker capacities, a possibility of non-symmetric distances, varying in-day travel times and order size categories. An order-based solution representation is proposed. A procedure to compute the goal function value and establish solution feasibility via the use of Discrete Event Simulation is presented. Three additional solution representations are proposed based on the idea of grouping orders and a number of properties showcasing their advantages and drawbacks are established. A procedure to generate problem instances based on real-life data is proposed and used to construct a basic benchmark dataset with 320 problem instances with number of orders ranging from 70 to 7177. Two heuristic solving methods are proposed: a greedy algorithm and a Genetic Algorithm metaheuristic. Each algorithm was implemented in four variants, one for each of the proposed solution representations. A number of computer experiments are performed on the proposed benchmark dataset and its derivatives, to establish the effectiveness of solution representations and algorithms, as well as to research the influence of several parameters on the obtained solutions and their feasibility. Results indicate that the alternative representations vastly outperform the standard representation in terms of Hyper-volume Indicator and both considered criteria. The genetic Algorithm also significantly outperforms the greedy method, although the advantage decreases with the increase of the number of orders. Other experiments indicate how vehicle-to-order, delivery-to-pickup, and locker occupancy ratios affect the feasibility of the solution.
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Autorzy i Afiliacje

Jarosław Rudy
1
ORCID: ORCID

  1. Department of Control Systems and Mechatronics,Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

Abstrakt

In this researchwork,we propose a new5-D highly hyperchaotic system with three quadratic nonlinear terms. A novel feature of the new hyperchaotic system is that it has the maximal Lyapunov exponent (MLE) given by ��1 = 10.5374 which implies that the proposed hyperchaotic system has high complexity. Another novel feature of the new hyperchaotic system is that the system exhibits a line of equilibrium points, which shows that the new hyperchaotic system has hidden attractors. We carry out a detailed bifurcation analysis of the new hyperchaotic system with a line equilibrium. Using Multisim, we build an electronic circuit of the new 5-D hyperchaotic system with a line equilibrium. As a control application, we use integral sliding mode control (ISMC) to achieve global asymptotic stabilization of the new 5-D highly hyperchaotic system with a line equilibrium. Lyapunov control theory has been used to establish the stabilization results for the new 5-D hyperchaotic system. MATLAB simulation results are shown to illustrate the main results of this research work.
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Autorzy i Afiliacje

Sundarapandian Vaidyanathan
1
ORCID: ORCID
Fareh Hannachi
2
ORCID: ORCID
Irene M. Moroz
3
ORCID: ORCID
Mohamad Afendee Mohamed
4
ORCID: ORCID
Aceng Sambas
5
ORCID: ORCID
Chittineni Aruna
6
ORCID: ORCID
A. Raghava Raju
7

  1. Centre for ControlSystems, Vel Tech University, 400 Feet Outer Ring Road, Avadi, Chennai-600062 Tamil Nadu, India and Faculty of Information and Computing, Universiti Sultan Zainal Abidin Terengganu, Malaysia
  2. Department of Management Sciences, Echahid Cheikh Larbi Tebessi University, Route de Constantine, 12022, Tebessa, Algeria
  3. Mathematical Institute, University of Oxford, Andrew Wiles Building, ROQ, Oxford Ox2 6GG, UK
  4. Faculty of Information and Computing, Universiti Sultan Zainal Abidin, Terengganu, Malaysia
  5. Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Gong Badak, 21300, Terengganu, Malaysia and Departmentof Mechanical Engineering, Universitas Muhammadiyah Tasikmalaya, Jawa Barat 46196, Indonesia
  6. Department of Computer Science and Engineering,KKR & KSR Institute of Technology and Sciences, Vinjanampadu, Vatticherukuru Mandal, Guntur-522017, Andhra Pradesh, India
  7. Department of Electronics and Communicationand Engineering, KITS Akshar Institute of Technology, NH-16, Yanamadala, Guntur-522019, A.P., India

Abstrakt

With the development of the national economy and the advancement of urbanization, the demand for household electricity consumption is rising sharply and the structure of the complexity of the trend. In order to help users realize intelligent management of household electricity consumption and improve the efficiency of electricity consumption. This paper proposes a smart home electricity consumption optimization method based on user habit analysis. Firstly, the home energy management system framework and related technologies are introduced, and home load dispatch types are categorized and modeled. Then, a circular coordinate fitting method is used to analyze the data and thus derive the users’ electricity consumption habits, as well as an improved K-mean clustering algorithm to mine the users’ personalized demands. Then, a multi-objective intelligent power consumption optimization model is established, and an improved artificial bee colony algorithm is used to solve practical problems. Finally, simulation experiments using real household electricity consumption datasets are conducted to verify the validity and feasibility of the method. The method in this paper can formulate power consumption plans according to the needs of different families, improve the convenience and comfort of users’ power consumption, and realize more reasonable and energy-saving power consumption through users’ participation in adjusting and improving their habitual behaviors. This research has application value and promotion significance and can be widely used in the field of smart home and energy saving and emission reduction.
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Autorzy i Afiliacje

Tien-Wen Sung
1
ORCID: ORCID
Jie Li
1
ORCID: ORCID
Zeming Huang
2
Qingjun Fan
1

  1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, College of Computer Science and Mathematics, Fujian University of Technology, China
  2. State Grid Jinjiang Power Supply Company, China

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