Skip to search formSkip to main contentSkip to account menu
Robust automatic parallel parking in tight spaces via fuzzy logic
View via Publisher
Motion planning for an autonomous Underwater Vehicle via Sampling Based Model Predictive Control
Unmanned Underwater Vehicles (UUVs) can be utilized to perform difficult tasks in cluttered environments such as harbor and port protection. However, since UUVs have nonlinear and highly coupled…
View on IEEE
Fuzzy control systems design and analysis: a linear matrix inequality approach: Kazuo Tanaka and Hua O. Wang; Copyright John Wiley & Sons, Inc., 2001, ISBN: 0-471-32324-1
View via Publisher
Fuzzy PI control design for an industrial weigh belt feeder
TLDR
Experimental results show the effectiveness of the proposed fuzzy logic controllers for an industrial weigh belt feeder and a performance comparison of the three controllers is given.
View via Publisher
Control Methods of Inverter-Interfaced Distributed Generators in a Microgrid System
Microgrids are a new concept for future energy distribution systems that enable renewable energy integration and improved energy management capability. Microgrids consist of multiple distributed…
View on IEEE
Nonlinear Model Predictive Control using sampling and goal-directed optimization
TLDR
A novel method called Sampling-Based Model Predictive Control (SBMPC) is proposed as an efficient MPC algorithm to generate control inputs and system trajectories that avoids the local minima which can limit the performance of MPC algorithms implemented using traditional, derivative-based, nonlinear programming.
View on IEEE
A neurocomputing approach for solving the algebraic matrix Riccati equation
  • F. Ham, E. Collins
  • Mathematics, Computer Science
    Proceedings of International Conference on Neural…
  • 3 June 1996
TLDR
This approach is able to utilize a good initial condition to reduce the computation time in comparison to standard methods for solving the Riccati equation.
View on IEEE
Digital Anti-Windup PI Controllers for Variable-Speed Motor Drives Using FPGA and Stochastic Theory
The windup phenomenon occurs when the output of a proportional-integral (PI) controller is saturated, which results in performance degradation or even instability. In this letter, three new…
View on IEEE
Robot navigation in very cluttered environments by preference-based fuzzy behaviors
View via Publisher
Frequency response method for terrain classification in autonomous ground vehicles
TLDR
This paper focuses on terrain classification using vibration measurements, performed using a probabilistic neural network, which can be implemented online at relatively high computational speeds and is applied experimentally to both an ATRV-Jr and an eXperimental Unmanned Vehicle at multiple speeds.
View on Springer
...
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License