Dipankar Deb

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Completely GPS-free positioning systems for wireless, mobile, ad-hoc networks typically stress on building a network-wide coordinate system. Such systems suffer from lack of mobility and high computational overhead. On the other hand, specialized hardware in GPS-enabled nodes tends to increase the solution cost. A number of GPS free position based routing(More)
— In this paper, we develop an adaptive inverse compensation scheme for controlling the aerodynamic flow of a synthetic jet actuator on a dynamic aircraft system. An adaptive inverse is employed for cancelling the effect of the nonlinearity of the synthetic jet. A linear state feedback control law is used for controlling the aircraft dynamics. A linearly(More)
In this paper, an adaptive compensation scheme is presented for controlling signal-dependent synthetic jet actuator nonlinearities, using higher order approximation of twin approximators for effective adaptive inversion of actuator nonlinearities. Approximation of a nonlinearly parametrized actuator model by a linearly parametrized function is performed.(More)
In the area of mobile, ad-hoc networks, the quest for a GPS-free yet, location aided routing protocol is on for quite sometime. We have surveyed a number of GPS free position based routing algorithms. Specialized hardware in GPS-enabled nodes tends to increase the solution cost. On the other hand, completely GPS-free solutions typically stress on building a(More)
In this paper, a unified adaptive compensation scheme for controlling signal-dependent actuator nonlinearities in a class of nonlinear system is presented. Approximation of a nonlinearly parametrized actuator model by a linearly parametrized function is performed. Adaptive inversion of actuator nonlinearities for the linearly approximated model is performed(More)
In this paper, a new technology is presented for nonlinear wind farm modeling. First, a nonlinear state space model for wind turbines in the wind farm is presented. The effects of the wind wake on a particular turbine due to interactions with other turbines in a wind farm is studied. These effects are evaluated in a specific wind farm configuration to(More)
This paper presents a neural network-based adaptive compensation scheme to cancel the effect of uncertain, highly complex and dynamic synthetic jet actuator nonlinearities. Approximation of a nonlinearly parameterized model of synthetic jet actuator characteristics by a linearly parameterized function is performed using neural network approximators. The(More)