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26 results for “model predictive control”
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Research ArticleOpen accessPhrase in the titleLiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive ControlSai Charan Dekkata, Sun Yi, M. A. Muktadir, Selorm GarfoUnmanned Ground Vehicles (UGVs) have, as of late, been utilized in a wide assortment of utilizations because of their flexibility, diminished expense, and quick response, among other benefits. Search and Rescue (SAR) is quite possibly the most conspicuous zones for the work of UGVs instead of a monitored mission, mainly due to its impediments on the expenses, human resources, and … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 30 Mar 2023 · 8,213 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleImproved Model Predictive Control System Design and Implementation for Unmanned Ground VehiclesSai Charan Dekkata, Sun Yi, MA Muktadir et al.Autonomous ground robots autonomously are being used inthe places where it is very hazardous for human beings to reach and operate,such as nuclear power plants and chemical industries. The aim of the researchpresented here is to develop a control system that enables such ground robotsnavigate autonomously with various sensors as the depth camera, 2D scanninglaser, 3D Lidar, GPS, and IMU. … …Journal of Mechatronics and Robotics, Vol. 6, Issue 1 · 27 Oct 2022 · 6,000 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleImproved Steering and Adaptive Cruise Control for Autonomous Vehicles Using Model Predictive ControlSai Charan Dekkata, Sun YiThe research on autonomous vehicles was started nearly a century ago but the major parts of significant advance have been done over the past few decades. In this paper, designing and simulating of a Model Predictive Controller (MPC) and comparing it to a classical feedback controller, which was designed and implemented on a car for Lane Keeping Assist (LKA) and … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 26 Jun 2019 · 8,019 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSynthesis of Robust Dynamic Controller, Model Predictive Control BasedMohamed Adel Sellami, Elyes Maherzi, Mongi BesbesProblem statement: More advanced control techniques have been developed in recent decades following the great progress of calculations means. Without considering the constraints on system variables, the response of controlled system moves away from the desired response. Hence the control strategy must provide the ability to integrate these constraints in the design phase of the controller. Approach: This study presents … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 16 Mar 2012 · 7,267 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleModel Predictive Approach to Precision Contouring Control for Feed Drive SystemsM.A. El Khalick, N. UchyiamaProblem statement: High precision machining requires high capability of multi-axis feed drive systems to follow specified contour accurately. Although each feed drive axis is controlled independently in many industrial applications such as X-Y tables and Computer Numerical Control (CNC) machines, machining precision is evaluated by error components orthogonal to desired contour curve. Contouring controller design is required for precision machining, … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,309 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproved 3D Imaging Performance of AFMMd Sohel RanaOver the last three decades the Atomic Force Microscopy (AFM) has played an important role in the field of nanotechnology for imaging and manipulating samples. However, the acquisition of a high-quality imaging performance by an AFM is significantly influenced by its key scanning element called its Piezoelectric Tube Actuator (PTA). In this article, to improve its performance, a multi-input multi-output … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 28 Jan 2020 · 7,295 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybrid Approach to Process Planning: The Urban Traffic Controller ExampleJimoh Falilat Olaitan, Simon Parkinson, Thomas Leo McCluskeyAutomated planning and scheduling are increasingly utilised in solving evsery day planning task. Planning in domains with continuous numeric changes present certain limitations and tremendous challenges to advanced planning algorithms. There are many pertinent examples to the engineering community; however, a case study is provided through the urban traffic controller domain. This paper introduce a novel hybrid approach to state-space … …Journal of Computer Science, Vol. 13, Issue 8 · 23 Aug 2017 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractDengue Fever Prediction Empowered by Radial Basis Function Networks, Dynamic Mode Decomposition, and Learning-Based Foraging AlgorithmArchana T, Faritha Banu JDengue fever is presently considered a major health threat that must be addressed. External and internal factors that induce nonlinear oscillations in the occurrence of dengue disease have made optimal resource allocation stimulating. Public health initiatives aimed at eradicating this vector use accurate and timely data through field processes. In dengue-endemic nations, early dengue prediction remains a main concern for … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Analytics and Procurement Visibility: A Big-Data-Driven Approach to Customer Satisfaction in Supply Chain ManagementDevendra Nath Pathak, Rakesh Kumar Yadav, Hitendra SinghIn the current dynamic and consumer driven market environment, supply chains need to move out of reactive to the proactive ecosystems. One of the most urgent requirements is increasing procurement visibility and the development of better order planning for the inventory to meet the products’ demand with continued high customer satisfaction. This paper is an agenda of big-data-driven predictive analytics … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 2,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite