Manas Mejari

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Last decade has seen a growing interest of robotics and control community towards understanding the dynamics and synthesis of control law for unmanned aerial vehicles (UAVs). Many control theoretic challenges are captured by UAV systems due to their inherent nonlinear dynamics and the underactuation characteristics. Quadrotor or quadcopter systems belongs(More)
Fuel Cell (FC) is emerging as a clean and nonpollutant energy source and is being used widely in most of the transport and microgrid applications. However, certain applications demanding fast dynamic response are restricting usage of FC on account of its lifetime issues. Slow dynamic response of FC is not suitable to provide transient load demands,(More)
The paper presents a nonlinear model predictive control (NMPC) strategy for stabilization and trajectory tracking control of planar vertical Take-off and landing (PVTOL) aircraft. PVTOL system is considered as a benchmark for investigating dynamics and control related issues for unmanned aerial vehicles (UAVs). Control problem of such systems is made(More)
Least Squares Support Vector Machine (LS-SVM) is a computationally efficient kernel-based regression approach which has been recently applied to nonparametric identification of Linear Parameter Varying (LPV) systems. In contrast to parametric LPV identification approaches, LS-SVM based methods obviate the need to parameterize the scheduling dependence of(More)
This paper presents a novel two-stage regularized moving-horizon algorithm for PieceWise Affine (PWA) regression. At the first stage, the training samples are processed iteratively, and a Mixed-Integer Quadratic-Programming (MIQP) problem is solved to find the sequence of active modes and the model parameters which best match the training data, within a(More)
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