This is a project where an Adaptive Flight Control based on L1 adaptive control is designed and tested using MATLAB/Simulink [ L1 adaptive control code ]
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Updated
Jun 4, 2018 - MATLAB
This is a project where an Adaptive Flight Control based on L1 adaptive control is designed and tested using MATLAB/Simulink [ L1 adaptive control code ]
Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".
Matlab code for the paper "Robust and discriminative image representation: Fractional-order Jacobi-Fourier Moments"
In this project, an observer in the form of a stable neural network is proposed for any nonlinear MIMO system. As a result of experience, this observer utilizes a nonlinear in parameter neural network (NLPNN) which unlike LPNN, supports systems with higher degree of nonlinearity with no pre-knowledge of its dynamics. The learning rule for this n…
A Generalized H-infinity Mixed Sensitivity Convex Approach to Multivariable Control Design Subject to Simultaneous Output and Input Loop-Breaking Specifications
Robust phase space planning of legged locomotion over rough terrain
The implementation of our paper 't-k-means: A Robust and Stable k-means Variant', accepted by the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021.
model error compensator (matlab codes of journal article) robust control
This project was done as the final project of my Robust Control university course.
In this project, hinf and h2 synthesis controllers are designed for MK standard form of a typical regulation problem. For full closure see the report.
A Comprehensive Guide to Active Control Methodology for Smart Beams
Methods for calculating precise logarithm of a sum and subtraction of very large or very small numbers.
Code repository for "Robust adaptive model-based compensator for the real-time hybrid simulation benchmark"
Trajectory tracking control via decentralized joint-level schemes. All the experiments are performed on a 2R manipulator.
Matlab scripts for implementing different stochastic methods
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