The proceedings contain 40 papers. The topics discussed include: a stochastic multi-item lot-sizing problem with bounded number of setups;upper bounds for the total chromatic number of join graphs and cobipartite grap...
ISBN:
(纸本)9789897582851
The proceedings contain 40 papers. The topics discussed include: a stochastic multi-item lot-sizing problem with bounded number of setups;upper bounds for the total chromatic number of join graphs and cobipartite graphs;assignment-based MIP modeling for solving a selling firm mTSP with time limit constraints;computing a multi-location aircraft fleet mix;behaviour of a hybrid ILS heuristic on the capacitated profitable tour problem;the effect of marketing imperfection variables on production in the context of Brazilian agriculture;using goal programming on estimated Pareto fronts to solve multiobjective problems;mathematical programs and computations for a class of anti-aircraft mission planning problems;a data quality dashboard for CMMS data;military manpower planning towards simultaneous optimization of statutory and competence logics using population based approaches;diffusion and disappearance of traffic congestion under steady state in a graph network;and a two-stage stochastic programming model for the resource constrained project scheduling problem under uncertainty.
Focused on recent advances, this book covers theoretical foundations as well as various applications. It presents modern mathematical modeling approaches to the qualitative and numerical analysis of solutions for comp...
ISBN:
(纸本)9783319821504
Focused on recent advances, this book covers theoretical foundations as well as various applications. It presents modern mathematical modeling approaches to the qualitative and numerical analysis of solutions for complex engineering problems in physics, mechanics, biochemistry, geophysics, biology and climatology. Contributions by an international team of respected authors bridge the gap between abstract mathematical approaches, such as applied methods of modern analysis, algebra, fundamental and computational mechanics, nonautonomous and stochastic dynamical systems on the one hand, and practical applications in nonlinear mechanics, optimization, decision making theory and control theory on the other. As such, the book will be of interest to mathematicians and engineers working at the interface of these fields.
The proceedings contain 14 papers. The topics discussed include: mathematical modeling of alkyde resin paint modified by carbon nanotubes;methods of virtual modeling of dynamic educational programs in terms different ...
The proceedings contain 14 papers. The topics discussed include: mathematical modeling of alkyde resin paint modified by carbon nanotubes;methods of virtual modeling of dynamic educational programs in terms different manufacturing sectors requirements;features of diffuse photon migration in soft biological tissue;design and technological solutions for technical systems based on the example of a sowing complex for grain crops;virtual modelling of particles two-step feeding;mathematical modeling of the stress-strain state of flexible threads with regard to plastic deformations;mobile trailer support arm: modeling and analysis of breakage;optimization in work modeling of a mixer;analysis method of the information value of indicators;modelling of spindle nodes for machining centers;application of infrared vision system for potato thermal control;estimation and increase of information measuring systems' metrological reliability on the designing stage;and aspects of modeling the magnetically controlled thermal accumulators for aerospace engineering.
Robots need to adapt themselves to various surroundings in order to achieve robust object search and grasp in unknown environments. For this adaptation, robot motions should be implemented as combination of primitive ...
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ISBN:
(纸本)9781538680940
Robots need to adapt themselves to various surroundings in order to achieve robust object search and grasp in unknown environments. For this adaptation, robot motions should be implemented as combination of primitive motions which are based on sensor reaction. Among various sensing methods, non contact sensing is required as a means of preventing operation failures such as pushing objects. Especially, proximity sensors have been proved effective in avoiding occlusion problems. In this paper, we first develop a gripper on which proximity sensors are mounted all around, and then calculate distance between the gripper and objects using proposed calibration method. This enables robots to recognize detailed shapes of objects surrounding the gripper. We also propose primitive motions for object search and grasp, and describe the contents of each motion. The motions are based on sensor information obtained from the gripper. We verify the effectiveness of our system through an experiment in which a real robot performs complex tasks by combination of the primitive motions.
In this study, we propose a control technique for stabilizing the attitude of multicopters when one or motors develops a fault. Existing fault-tolerant multicopter control schemes attempt to secure the control force b...
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ISBN:
(纸本)9781538685372
In this study, we propose a control technique for stabilizing the attitude of multicopters when one or motors develops a fault. Existing fault-tolerant multicopter control schemes attempt to secure the control force by tilting the principal axis or applying a control allocation method to the extra rotors in hexacopters and octocopters. However, these methods have the disadvantage of requiring additional mechanical devices for tilting and algorithms for fault detection and isolation. In this study, we propose a robust adaptive control method that overcomes these problems and can follow the commands of a multicopter in uncertain situations. In contrast to existing multicopter flight control methods, the proposed technique offers reliable performance against motion modeling errors and disturbances owing to its robustness to uncertainties. Simulations and flight tests verify that the proposed control technique can stabilize the attitude of a multicopter and follow the given attitude commands even in the event of faults.
Hydraulic machines are in use where the large forces, at relatively low velocities, are required by varying loads and often hazardous and hard-to-reach environments, like e.g. offshore, mining, forestry, cargo logisti...
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ISBN:
(纸本)9781538619469
Hydraulic machines are in use where the large forces, at relatively low velocities, are required by varying loads and often hazardous and hard-to-reach environments, like e.g. offshore, mining, forestry, cargo logistics, and others industries. Cranes and excavators equipped with multiple hydraulic cylinders are typical examples for that. For design of the robust feedback controls of hydraulic cylinders, already installed into large-scale machines, there is a general lack of reliable dynamic models. Also the suitable and feasible identification techniques, especially in frequency domain, yield limited. This paper proposes a minimal-modeling approach for determining the most relevant open-loop characteristics of hydraulic cylinders installed on a bulk loader crane. The resulted model allows for robust control design without knowledge of the overall complex system behavior. The total system gain, non-negligible input dead-zone, and aggregated phase lag are identified from the simple open-loop experiments. An aggregated phase lag is captured for the assumed bandwidth of the system, and that without knowledge of the higher-order residual system dynamics. Based thereupon, the robust feedback position regulator is designed and extended by the velocity feed-forwarding. The proposed modeling approach, together with the designed control system, are evaluated on the third axis of a hydraulic loader crane.
This paper presents a new scheduling model and methods to solve multi-project scheduling problems considering strict resource constraints and multiple objective functions simultaneously. The solution approach is based...
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This paper presents a new scheduling model and methods to solve multi-project scheduling problems considering strict resource constraints and multiple objective functions simultaneously. The solution approach is based on an integration of enterprise resource planning system (ERP) and an advanced planning and scheduling application (APS). An ERP system software component defines a set of projects with their details (activities, due dates, processing times, precedence constraints, etc.) and the available resources with their capabilities and real constraints. The user can specify many objective functions and their priorities. The goal of this scheduling problem type is to create a detailed execution plan that meets all the hard constraints and gives a near optimal compromised solution from objective functions point of view. In real execution environments, more than one projects may run in parallel, and they may require the same resources. For example, projects may produce the standard type of products, and they use the same manufacturing resources. In different decision-making situations, dynamic priorities may be defined for projects or activities to express the relative importance of items. The paper focuses on modeling and solving of multi-objective multi-project scheduling problems, and we present the integration of ERP and APS systems.
Modern electric power systems (EPS) are complex, multiply connected, spatially separated hierarchical objects that function under conditions of the variability in their structure, parameters and operating modes under ...
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ISBN:
(纸本)9781538643075
Modern electric power systems (EPS) are complex, multiply connected, spatially separated hierarchical objects that function under conditions of the variability in their structure, parameters and operating modes under numerous external and internal disturbances, both systematic and random. The optimal management of normal EPS modes is to ensure a reliable supply of electricity to consumers with the required quality at minimum costs. Today we know a lot of optimization methods for various problems arising in the energy sector. This paper presents solving technical problems with the help of methods of artificial intelligence, fuzzy logic, artificial neural networks and evolutionary algorithms. The concept of Particle Swarm Optimization (PSO) is based on the use of decentralized systems consisting of many simple monotonous elements (agents), indirectly interacting with each other and with the environment. The genetic algorithm GA is a combined method in which two groups of optimization methods are combined: search and iterative. The results of calculation of electrical circuits allow us to assume that the developed adaptive PSO and GA algorithms are applicable for obtaining effective solutions to the problem of selecting optimal modes of the equipment operation in EPS.
The regular increase in the number of passengers makes the management of transportation systems more and more complex. Railway transport requires specific needs. Indeed, many decision and optimization problems occur f...
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The paper is an extension of result A. Margun and I. Furtat "Robust control of linear MIMO systems in conditions of parametric uncertainties, external disturbances and signal quantization". controller synthe...
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ISBN:
(纸本)9783319659602;9783319659596
The paper is an extension of result A. Margun and I. Furtat "Robust control of linear MIMO systems in conditions of parametric uncertainties, external disturbances and signal quantization". controller synthesis for class of linear uncertain MIMO plants under disturbances, time delay and output quantization is considered. control law is based on consecutive compensator approach. Proposed algorithm provides exponential convergence of the tracking error to the limited area. Stability conditions and time delay bounds are obtained with using of Lyapunov-Krasovskii approach.
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