WorldCat Identities

Verma, Ajay

Overview
Works: 10 works in 21 publications in 1 language and 168 library holdings
Roles: Editor
Classifications: BQ4150, 294.34
Publication Timeline
Key
Publications about  Ajay Verma Publications about Ajay Verma
Publications by  Ajay Verma Publications by Ajay Verma
Most widely held works by Ajay Verma
The Buddha and his dhamma : a critical edition by B. R Ambedkar ( Book )
10 editions published in 2011 in English and held by 156 WorldCat member libraries worldwide
'The Buddha and his Dhamma' presents B.R. Ambedkar's review and analysis of the vast Buddhist canon and literature. This is the first critical edition of the book published posthumously in 1957. Besides a new introduction, it includes footnotes and annotations which explain missing references and passages in the original text
An investigation of resuspension and gas transfer in flooded mine tailings by Ajay Verma ( Book )
2 editions published between 1999 and 2003 in English and held by 3 WorldCat member libraries worldwide
Heterogeneity of rat brain calcium pools by Ajay Verma ( Book )
2 editions published in 1992 in English and held by 2 WorldCat member libraries worldwide
Determination and stable tracking of feasible aircraft trajectories using Adaptive Inverse Dynamics by Ajay Verma ( Book )
1 edition published in 2000 in English and held by 1 WorldCat member library worldwide
On-Line Adaptive Estimation and Trajectory Reshaping ( )
1 edition published in 2005 in English and held by 1 WorldCat member library worldwide
An Adaptive Trajectory Reshaping and Control (ATRC) system is envisioned for RLVs to avoid catastrophic failure when subjected to performance restricting damages and failures. The ATRC is a response system that continuously reshapes and optimizes the reference RLV trajectory, such that, if physically possible, the feasibility constraints are satisfied. The focus of this paper is on two important features of the ATRC system that allow (a) estimation of a parameter functional over the RLV flight envelope to determine feasibility constraints, and (b) real time reshaping of the RLV trajectory for feasibility and optimization of end goals. The knowledge of the effects of a failure at future flight condition is required to design and reshape feasible trajectories. Our approach uses regularization of the ill-posed learning problem by using fusion of existing knowledge and geometric structure in the functional to reduce the uncertainties of future flight conditions. The paper also addresses the difficult problem of real time on-line trajectory generation based on an inverse dynamics principle. An acceptable trajectory is a solution of a two-point boundary value problem for a non-flat (under-actuated) non-linear differential equation of motion. The inverse dynamics approach solves a set of algebraic equations, which strictly satisfies the non-linear differential equations of a non-flat system
From Method to Playfulness to Chaos A Critique Postmodernism by Ajay Verma ( )
1 edition published in 2010 in English and held by 1 WorldCat member library worldwide
Smooth Function Modeling for On-Line Trajectory Reshaping Application (Postprint) ( )
1 edition published in 2006 in English and held by 1 WorldCat member library worldwide
This report was developed under a SBIR contract. Online vehicle trajectory reshaping is desired for a class of autonomous air vehicles such as RLVs in order to avoid catastrophic failure when subjected to performance restricting damages and failures. An Adaptive Trajectory Reshaping and Control (ATRC) system is envisioned that responds to altered vehicle conditions by continuously retargeting and reshaping the reference RLV trajectory satisfying the feasibility constraints. On-line trajectory reshaping to determine a feasible reference trajectory is computationally a difficult problem for real time applications. ATRC is exploring the principles of vehicle dynamics inversion for online generation of feasible reference trajectory. Two essential components for generating reference trajectory for air-vehicles using "inverse dynamics" methodology are aerodynamic model of the vehicle that is representative of the current state of the vehicle, and a framework for modeling the vehicle trajectory. Physics based modeling software such as Missile DATCOM allows fast computation of aerodynamic coefficients for given flight points and the results can be stored in tabular form. However, for efficient real-time trajectory reshaping application, it is desirable to represent aerodynamic coefficients in smooth functional forms that are governed by a few parameters. Similarly, trajectories must also be represented by smooth functions. In this paper we present modeling of smooth functions using a set of basis functions that are suitable for aerodynamic modeling and trajectory reshaping of the air vehicles. A desirable feature for function modeling is the easy imposition of boundary as well as mid point constraints in the function using a small number of parameters without limiting the scope of the function. In this paper we present a design method for generating orthonormal polynomial basis functions in one and two dimensions with constraints
Neural Dynamic Trajectory Design for Reentry Vehicles (Preprint) ( )
1 edition published in 2007 in English and held by 1 WorldCat member library worldwide
The next generation of reentry vehicles is envisioned to have onboard autonomous capability of real-time trajectory planning to provide capability of responsive launch and delivering payload anywhere with precise flight termination. This capability is also desired to overcome, if possible, in-flight vehicle damage or control effector failure resulting in degraded vehicle performance. An aerial vehicle is modeled as a nonlinear multi-input-multi-output (MIMO) system. An ideal optimal trajectory control design system generates a series of control commands to achieve a desired trajectory under various disturbances and vehicle model uncertainties including aerodynamic perturbations caused by geometric damage to the vehicle. Conventional approaches suffer from the nonlinearity of the MIMO system, and the high-dimensionality of the system state space. In this paper, we apply a Neural Dynamic Optimization (NDO) based approach to overcome these difficulties. The core of an NDO model is a multilayer perceptron (MLP) neural network, which generates the control parameters online. The advantage of the NDO system is that it is very fast and gives the trajectory almost instantaneously. The bulk of the time consuming computation is required only during off-line training. The inputs of the MLP are the time-variant states of the MIMO systems. The outputs of the MLP are the near optimal control parameters
50 years of Coordinated wheat research in India : by Sewa Ram ( Book )
1 edition published in 2011 in English and held by 1 WorldCat member library worldwide
Smooth Function Modeling for On-Line Trajectory Reshaping Application (Preprint) ( )
1 edition published in 2006 in English and held by 1 WorldCat member library worldwide
Online vehicle trajectory reshaping is desired for a class of autonomous air vehicles such as RLVs in order to avoid catastrophic failure when subjected to performance restricting damages and failures. An Adaptive Trajectory Reshaping and Control (ATRC) system is envisioned that responds to altered vehicle conditions by continuously retargeting and reshaping the reference RLV trajectory satisfying the feasibility constraints. On-line trajectory reshaping to determine a feasible reference trajectory is computationally a difficult problem for real time applications. ATRC is exploring the principles of vehicle dynamics inversion for on-line generation of feasible reference trajectory
 
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Alternative Names
Ajay Verma
Languages
English (21)
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