Online Adaptive Controller Based on Dynamic Evolution Strategies

Adaptive attitude controller of a reentry vehicles based on Back-stepping Dynamic inversion method

This paper presents an attitude control algorithm for a Reusable Launch Vehicle (RLV) with a low lift/drag ratio (L/D < 0.5), in the presence of external disturbances, model uncertainties, control output constraints and the thruster model. The main novelty of proposed control strategy is a new combination of the attitude control methods included backstepping, dynamic inversion and adaptive cont...

Improved Differential Evolution Algorithm based on Dynamic Adaptive Strategies and Control Parameters

To solve the slow convergence speed, low precision in later period and tedious parameter setting of differential evolution when applied to complex optimization functions, an improved differential evolution algorithm (dn-DADE) based on dynamic adaptive strategy is proposed. Firstly, the elite solutions of current population are utilized in the new mutation strategy (DE/current-to-dnbest/1) to gu...

Optimal Online Tuning of an Adaptive Controller

An Improved Adaptive PID Controller Based on Online LSSVR with Multi RBF Kernel Tuning

In this paper, the effects of using multi RBF kernel for an online LSSVR on modeling and control performance are investigated. The Jacobian information of the system is estimated via online LSSVR model. Kernel parameter determines how the measured input is mapped to the feature space and a better plant model can be achieved by discarding redundant features. Therefore, introducing flexibility in...

Adaptive BCI-Controller For Dynamic Systems

of the Thesis Adaptive BCI-Controller For Dynamic Systems by Golnaz Eftekhari Yazdi Master of Science in Electrical and Computer Engineering Northeastern University, July 2015 Dr. Deniz Erdogmus, Adviser This thesis introduces a new approach to design an adaptive proportional controller for dynamic systems controlled by Brain Computer Interfaces (BCIs). Brain-controlled robots are being develop...