Optimal control theory deals with finding the policy that minimizes the discounted infinite horizon quadratic cost function. For finding the optimal control policy, the solution of the Hamilton-Jacobi-Bellman (HJB) eq...
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ISBN:
(纸本)9781728159539
Optimal control theory deals with finding the policy that minimizes the discounted infinite horizon quadratic cost function. For finding the optimal control policy, the solution of the Hamilton-Jacobi-Bellman (HJB) equation must be found i.e. the value function which satisfies the Bellman equation. However, the HJB is a partial differential equation that is difficult to solve for a nonlinear system. the paper employs the approximate dynamic programming method to solve the HJB equation for the deterministic nonlinear discrete-time systems in continuous state and action space. the approximate solution of the HJB is found by the policy iteration algorithm which has the framework of actor-critic architecture. the control policy and value function are approximated using function approximators such as neural network represented in the form of linearly independent basis function. the gradient descent optimization algorithm is employed to tune the weights of the actor and critic network. the control algorithm is implemented for cart pole inverted pendulum system, the effectiveness of this approach is provided in simulations.
the people with some type of disability in the Ecuador and in the world is increasing due to the fact that it is not a condition only biological, if not that depends also on environmental factors, accidents or chronic...
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ISBN:
(纸本)9781728158822
the people with some type of disability in the Ecuador and in the world is increasing due to the fact that it is not a condition only biological, if not that depends also on environmental factors, accidents or chronic diseases. the physical therapy is one option to improve the mobility and the living conditions of the patients. the virtual reality with alternative systems that he is in the field of the video games to realize the capture of movements, develops a prototype that serves of hopes for therapists and patients in processes of physical rehabilitation, which consists of an application that takes charge extracting the information that obtains the sensor Kinect. the procedure is realized by programming in C# and the information of east of the meeting is stored in a database to be recovered from a web application in which the therapist could visualize the fulfilment of the rehabilitation.
In thailand, demand for organic pork has emerged in recent years because of consumer concerns for health and the environment. Consequently, this creates a demand for organic feed for swine. this paper provides a linea...
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ISBN:
(纸本)9781728167855
In thailand, demand for organic pork has emerged in recent years because of consumer concerns for health and the environment. Consequently, this creates a demand for organic feed for swine. this paper provides a linear programming model for an organic feed mix problem. the model considers a set of non-organic and organic raw materials (RMs) withtheir supply availabilities and organic RMs percentage in dry weight. An optimal feed formulation is determined to satisfy nutrient requirements and organic proportion of the feed, as well as to minimize their total RMs purchase and pre-processing costs. A numerical example is given to demonstrate the model use.
Energy system choices for zero-carbon parks are challenged by the drive towards a low-carbon transition. Traditional wind-power-gas integrated energy systems centred on natural gas and combined heat and power (CHP) ar...
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ISBN:
(数字)9798350384093
ISBN:
(纸本)9798350384109
Energy system choices for zero-carbon parks are challenged by the drive towards a low-carbon transition. Traditional wind-power-gas integrated energy systems centred on natural gas and combined heat and power (CHP) are limited by high carbon capture and storage costs. the aim of this study is to assess the economic viability of an innovative hydrogen-electricity coupled integrated energy system centred on hydrogen production from renewable energy sources and to conduct a comparative analysis with conventional systems. the study begins withthe collection of historical data on wind speed and solar radiation in the park over a number of years, which is used to analyse the output characteristics of the wind and photovoltaic systems in depth, providing a solid data base for the optimal design of the hydrogen-electric coupled system. Next, a techno-economic model was constructed to meet the park's demand for electricity, heat and transport energy. the capacity of each component in both systems was optimally configured to reduce the annualised cost of the system through a mixed integer linear programming (MILP) approach. Based on this, a comprehensive techno-economic analysis was conducted to compare the economic indicators of the two systems. the results of the analyses show that the hydrogen-electric coupling system has significant economic advantages, including a higher net present value (improved by 70.79%), a shorter payback period (reduced by 6.61%), and a higher internal rate of return. Sensitivity analyses further revealed the main factors affecting the economics of the hydrogen-electric coupling system, including the demand for hydrogen from vehicles in the park, electrolyser costs and wind turbine costs. the findings of this study provide an important reference for planning and decision-making on the energy system of a zero-carbon park and highlight the potential of hydrogen in the future energy supply of the park.
Deploying mobile instrumentation for railway track inspection is a routing and scheduling problem, that can be benefited from plans which don't disrupt regular train schedules. In this work, we avoid disrupting tr...
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Deploying mobile instrumentation for railway track inspection is a routing and scheduling problem, that can be benefited from plans which don't disrupt regular train schedules. In this work, we avoid disrupting train schedules by modeling unavailability of railway tracks, thereby improving reliability without sacrificing on costs. the approach involves a novel mathematical formulation for Capacitated Arc Routing Problem with Temporal restrictions due to arc Unavailabilities (CARP-TU). In addition, we discuss the challenges in CARP-TU w.r.t sibling problems, and propose a suitable column generation algorithm for improving upper and lower bounds. the proposed algorithm is validated over few benchmark datasets, and then two variants of the proposed algorithm are compared to analyse the bound improvements w.r.t problem size.
Pattern-type reachability analysis extends Petri nets analysis by constructing a reachability graph from the patterns which are the internal emergent properties of the modeling system. the process construction of the ...
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ISBN:
(纸本)9781728159539
Pattern-type reachability analysis extends Petri nets analysis by constructing a reachability graph from the patterns which are the internal emergent properties of the modeling system. the process construction of the reachability tree takes into account Place and Transition invariants. Vertices of the pattern are markings satisfy a some set of constraints. the elastic model of the Dinning Philosophers based on Fractal Petri nets and its pattern-type analysis are considered. Fractal algebra operations implements by matrix operations. It makes possible to consider a state space explosion problem as patterns emergency and reachability.
Online Automatic Assessment System (OAAS) is a vital component in Online Judge systems. It is used to assess the correctness of programs submitted by the users. Developing OAAS is a non-trivial and challenging task du...
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ISBN:
(数字)9783030794637
ISBN:
(纸本)9783030794620;9783030794637
Online Automatic Assessment System (OAAS) is a vital component in Online Judge systems. It is used to assess the correctness of programs submitted by the users. Developing OAAS is a non-trivial and challenging task due to various functional and non-functional dependencies. Few OAAS architectures were reported in the literature;however, their stability in handling the voluminous data produced by millions of submissions over a long duration is unknown. In this paper, we present the internal architecture of our OAAS, which has assessed five million program codes and has been operating stably for more than 10 years. We will also share some of our real-world experiences related to the operation of this system.
this paper highlights the Application of Linear programming in determining the optimized allocation. the Focus of this study is maximizing the efficiency of the eCustomer Care Service for the year 2019 by determining ...
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the paper is devoted to application of Cartesian Genetic programming (CGP) for generating optimal trajectories of a mobile robots group. the problem of a control system synthesis for a mobile robots group is solved. T...
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ISBN:
(纸本)9781728159539
the paper is devoted to application of Cartesian Genetic programming (CGP) for generating optimal trajectories of a mobile robots group. the problem of a control system synthesis for a mobile robots group is solved. the proposed algorithm uses numerical approach from the class of symbolic regression methods to which Cartesian Genetic programming belonging. It allows to receive a control function in the form of a mathematical expression. We consider several stages to get optimal trajectories for mobile robots group moving along which the robots wouldn't collide with each other and obstacles. Initially, we solve the problem of synthesis for each robot in order to get the stabilized robot control system relative some point in the state space. At the second stage, spatial trajectories are found along which robots move from the current state to the obtained equilibrium points without collisions. It was proposed to improve an initial algorithm by using the principal of small variation of basic solution. there is considered a group of three robots and the control system for them with phase constraints in the paper.
the cost of energy losses analysis for distributed generation (DG) is presented in this paper using a Hybrid Evolutionary programming-Firefly Algorithm (EPFA). the proposed method was created to determine the optimal ...
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