Article
Open Access
Nonlinear Model Predictive Controller and Feasible Path Planning for Autonomous Robots
-
Vu Trieu Minh
Published/Copyright:
November 15, 2016
Received: 2016-10-01
Accepted: 2016-10-24
Published Online: 2016-11-15
© 2016 Vu Trieu Minh
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Keywords for this article
Nonlinear model predictive control;
autonomous
robots;
nonlinear dynamic system;
feasible
path generation;
system stabilization
Creative Commons
BY 4.0
Articles in the same Issue
- Bicubic splines and biquartic polynomials
- Popularity estimation of interesting locations from visitor’s trajectories using fuzzy inference system
- A mixed-paradigm component architecture for implementing web-based game servers
- Radial basis function neural networks: a topical state-of-the-art survey
- Survey of context information fusion for ubiquitous Internet-of-Things (IoT) systems
- Implementation of algebraic procedures on the GPU using CUDA architecture on the example of generalized eigenvalue problem
- Adaptive Distance Grid Based Algorithm for Farthest Point Seeding Streamline Placement
- Application of human body movements on the avatars model for the purpose of virtual training system
- Abstraction of Meaningful Symbolized Objects
- MEMS optical switch: Switching time reduction
- Cross-domain based Event Recommendation using Tensor Factorization
- Creating virtual environments for phobia treatment
- Color transform analysis for microscale image segmentation to study halftone model parameters
- Dissimilarities Detections in Texts Using Symbol n-grams and Word Histograms
- Nonlinear Model Predictive Controller and Feasible Path Planning for Autonomous Robots
- Measuring, Assessing and Improving Software Quality based on Object-Oriented Design Principles
- Development and research of the algorithm for determining the maximum flow at distribution in the network
- The Laguerre spectral method as applied to numerical solution of a two−dimensional linear dynamic seismic problem for porous media
- Persian sentences to phoneme sequences conversion based on recurrent neural networks
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