Search Results - sequential quadratic programming algorithm
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3D Measurement of Particle Movement in a Silo Using Magnetic Positioning and Inertial Navigation Technologies
Published 2025-01-01Subjects: Get full textMagnetic positioning technology is a novel and direct method to measure the attitude and position information of discrete particles in dense granular flow. However, owing to the need to manually set the initial value and other boundary conditions in the process of algorithm solution, the deviation b...
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Properties of objective functions and search algorithms in multi-objective optimization problems
Published 2022-07-01“…The sequential quadratic programming (SQP) algorithm was applicable to one of the analytically defined objective functions and one of the filter optimization objective functions, as well as appearing to be significantly superior to heuristic algorithms in speed and accuracy of solutions search. …”Objectives. A frequently used method for obtaining Pareto-optimal solutions is to minimize a selected quality index under restrictions of the other quality indices, whose values are thus preset. For a scalar objective function, the global minimum is sought that contains the restricted indices as pen...
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Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system
Published 2025-07-01Get full textIntroductionThis work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict-Based Model Predictive Control (CB-MPC).MethodsThe proposed method leverages the conflict-avoidance s...
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Comparison of algorithms for multi-objective optimization of radio technical device characteristics
Published 2022-12-01“…One of the compared algorithms comprises the Third Evolution Step of Generalized Differential Evolution (GDE3) population-based algorithm for searching the full approximation of the Pareto set simultaneously, while the other three algorithms minimize the scalar objective function to find only one element of the Pareto set in a single search cycle: these comprise Multistart Pattern Search (MSPS), Multistart Sequential Quadratic Programming (MSSQP) method and Particle Swarm Optimization (PSO) algorithms.Results. …”Objectives. The selection of a method for solving multi-objective optimization problems has many practical applications in diverse fields. The present work compares the results of applying different methods to the selected classes of problems by solution quality, time consumption, and various other...
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Algorithm and software for the optimal technological design of a system of simple distillation columns
Published 2021-11-01“…To solve the conditional optimization problem, a sequential quadratic programming method-based model was used. …”Objectives. The formalized problem of the optimal design of distillation column systems belongs to the class of mixed integer nonlinear program problems. Discrete search variables are the number of trays in the rectifying and stripping sections of columns, whereas the continuous ones are the operati...
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Dual Control of the Extremal Multidimensional Regression Object
Published 2022-08-01“…The sequential solution of the functional dynamic programming equations is performed. …”The statement of the problem of the dual control of the regression object with multidimensional-matrix input and output variables and dynamic programming functional equations for its solution are given. The problem of the dual control of the extremal regression object, i.e. object response function...
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Adaptive Event-Triggered Predictive Control for Agile Motion of Underwater Vehicles
Published 2025-05-01“…This paper focuses on the design and agile motion control of autonomous underwater vehicles (AUVs) operating in subsea environments, addressing key issues such as structural design, system modeling, and control algorithm development. An optimization model for the arrangement of propellers is formulated and solved using a Sequential Quadratic Programming (SQP) algorithm. …”As the demand for underwater robots in complex environments continues to grow, research on their agile motion capabilities becomes increasingly crucial. This paper focuses on the design and agile motion control of autonomous underwater vehicles (AUVs) operating in subsea environments, addressing key...
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Energy-Optimized Path Planning for Fully Actuated AUVs in Complex 3D Environments
Published 2025-06-01“…To minimize energy usage, we propose an energy-optimized path planning algorithm that combines energy-optimized particle swarm optimization (EOPSO) and sequential quadratic programming (SQP). …”This paper presents an energy-optimized path planning approach for fully actuated autonomous underwater vehicles (AUVs) in three-dimensional ocean environments to enhance their operational range and endurance. A fully actuated AUV is characterized by its high degrees of freedom and precise controlla...
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A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System
Published 2024-03-01“…A numerical approximation method, a modified sequential quadratic programming (SQP) method coupled with a mean value analysis (MVA) algorithm, is employed to overcome this challenge. …”<i>Background:</i> This study addresses optimising fleet size in a system with a heterogeneous truck fleet, aiming to minimise transportation costs in interfacility material transfer operations. <i>Methods:</i> The material transfer process is modelled using a closed queueing...
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Generalized Fractional Order Complex Lorenz System-Based Dual Layer Security Enhancement Approach
Published 2025-01-01“…In this paper, the fractional order complex Lorenz system is considered and system parameters are optimized using sequential quadratic programming algorithm by considering a multi objective function. …”The optimization of chaotic systems has gained significant importance to attain high complex attractors for cryptographic and communication applications. In this paper, the fractional order complex Lorenz system is considered and system parameters are optimized using sequential quadratic programming...
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Transient Time Reduction in Time-Varying Digital Filters via Second-Order Section Optimization
Published 2025-06-01“…By employing a numerical optimization approach, we selectively adjust the coefficients of a single SOS within a higher-order filter to minimize the transient period while maintaining overall stability. Using a sequential quadratic programming (SQP) algorithm, we determine a time-varying coefficient trajectory over a finite horizon, ensuring a rapid convergence to steady-state behavior. …”Time-varying digital filters are widely used in dynamic signal processing applications, but their transient response can significantly impact performance, particularly in real-time systems. This study focuses on reducing transient time in time-varying filters through second-order section (SOS) optim...
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Optimal Transmission of VLC System in the Presence of LED Nonlinearity and APD Module Saturation
Published 2018-01-01“…The derived explicit expression of <inline-formula><tex-math notation="LaTeX">$\text{SNDR}$ </tex-math></inline-formula> shows that the performance depends on the transmission parameters of both direct current bias <inline-formula><tex-math notation="LaTeX">$V_{{dc}}$</tex-math></inline-formula> and peak-to-peak voltage <inline-formula><tex-math notation="LaTeX">$V_{{pp}}$</tex-math></inline-formula>. Meanwhile the sequential quadratic programming algorithm is applied to maximize <inline-formula><tex-math notation="LaTeX">$\text{SNDR}$</tex-math> </inline-formula> and obtain the optimal transmission parameters. …”We address the optimal transmission of LED-based visible light communication (VLC) system using direct current biased optical orthogonal frequency division multiplexing (DCO-OFDM) modulation and avalanche photodiode (APD) receiver. The peak-to-average-power ratio (PAPR) characteristic of O-OFDM sign...
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