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You searched for +publisher:"Georgia Tech" +contributor:("Prasad, J.V.R."). Showing records 1 – 11 of 11 total matches.

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Georgia Tech

1. Clark, Brian. Modeling dynamic stall of SC-1095 airfoil at high mach number.

Degree: MS, Aerospace Engineering, 2010, Georgia Tech

 In this thesis, the Leishman-Beddoes method of determining airloads for an airfoil undergoing dynamic stall is studied over a range of Mach numbers. To validate… (more)

Subjects/Keywords: Dynamic stall; Leishman-Beddoes; Mach number; Aerofoils; Stalling (Aerodynamics)

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APA (6th Edition):

Clark, B. (2010). Modeling dynamic stall of SC-1095 airfoil at high mach number. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33866

Chicago Manual of Style (16th Edition):

Clark, Brian. “Modeling dynamic stall of SC-1095 airfoil at high mach number.” 2010. Masters Thesis, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/33866.

MLA Handbook (7th Edition):

Clark, Brian. “Modeling dynamic stall of SC-1095 airfoil at high mach number.” 2010. Web. 22 Nov 2019.

Vancouver:

Clark B. Modeling dynamic stall of SC-1095 airfoil at high mach number. [Internet] [Masters thesis]. Georgia Tech; 2010. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/33866.

Council of Science Editors:

Clark B. Modeling dynamic stall of SC-1095 airfoil at high mach number. [Masters Thesis]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33866

2. Li, Wei-En. Enhancement of roll maneuverability using post-reversal design.

Degree: PhD, Aerospace Engineering, 2009, Georgia Tech

 This dissertation consists of three main parts. The first part is to discuss aileron reversal problem for a typical section with linear aerodynamic and structural… (more)

Subjects/Keywords: Aeroelasticity; DYMORE; XFOIL; Aeroelastic nonlinearity; Aileron reversal; Roll maneuverability; Ailerons; Ailerons Performance; Aerodynamics; Rolling (Aerodynamics); Trailing edge flaps

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APA (6th Edition):

Li, W. (2009). Enhancement of roll maneuverability using post-reversal design. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29602

Chicago Manual of Style (16th Edition):

Li, Wei-En. “Enhancement of roll maneuverability using post-reversal design.” 2009. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/29602.

MLA Handbook (7th Edition):

Li, Wei-En. “Enhancement of roll maneuverability using post-reversal design.” 2009. Web. 22 Nov 2019.

Vancouver:

Li W. Enhancement of roll maneuverability using post-reversal design. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/29602.

Council of Science Editors:

Li W. Enhancement of roll maneuverability using post-reversal design. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29602


Georgia Tech

3. Reimann, Johan Michael. Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 In recent years, Unmanned Aerial Vehicles (UAVs) have been used extensively in military conflict situations to execute intelligence, surveillance and reconnaissance missions. However, most of… (more)

Subjects/Keywords: Differential games; Adversarial reasoning; Optimal control; Differential games; Drone aircraft; Airplanes Automatic control; Airplanes Control systems; Algorithms

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APA (6th Edition):

Reimann, J. M. (2007). Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16151

Chicago Manual of Style (16th Edition):

Reimann, Johan Michael. “Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/16151.

MLA Handbook (7th Edition):

Reimann, Johan Michael. “Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles.” 2007. Web. 22 Nov 2019.

Vancouver:

Reimann JM. Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/16151.

Council of Science Editors:

Reimann JM. Using Multiplayer Differential Game Theory to Derive Efficient Pursuit-Evasion Strategies for Unmanned Aerial Vehicles. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16151


Georgia Tech

4. Unnikrishnan, Suraj. Adaptive Envelope Protection Methods for Aircraft.

Degree: PhD, Aerospace Engineering, 2006, Georgia Tech

 Carefree handling refers to the ability of a pilot to operate an aircraft without the need to continuously monitor aircraft operating limits. At the heart… (more)

Subjects/Keywords: Operating limits; Neural network based estimation; Flight test results; Autonomous systems; Reactionary methods; Control limits; Real-time optimal control; B-spline approximation; Force-feedback tactile cueing; Rotorcraft flap angle limiting; Intelligent control systems; Neural networks (Computer science); Automatic control; Flight control Design and construction; Fuzzy systems; Helicopters Control systems Design and construction

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APA (6th Edition):

Unnikrishnan, S. (2006). Adaptive Envelope Protection Methods for Aircraft. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/11478

Chicago Manual of Style (16th Edition):

Unnikrishnan, Suraj. “Adaptive Envelope Protection Methods for Aircraft.” 2006. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/11478.

MLA Handbook (7th Edition):

Unnikrishnan, Suraj. “Adaptive Envelope Protection Methods for Aircraft.” 2006. Web. 22 Nov 2019.

Vancouver:

Unnikrishnan S. Adaptive Envelope Protection Methods for Aircraft. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/11478.

Council of Science Editors:

Unnikrishnan S. Adaptive Envelope Protection Methods for Aircraft. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/11478


Georgia Tech

5. Dhingra, Manuj. Compressor stability management.

Degree: PhD, Aerospace Engineering, 2006, Georgia Tech

 Dynamic compressors are susceptible to aerodynamic instabilities while operating at low mass flow rates. These instabilities, rotating stall and surge, are detrimental to engine life… (more)

Subjects/Keywords: Correlation measure; Active stall control; Stall limit detection; Engine operability; Compressor surge

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APA (6th Edition):

Dhingra, M. (2006). Compressor stability management. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/10433

Chicago Manual of Style (16th Edition):

Dhingra, Manuj. “Compressor stability management.” 2006. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/10433.

MLA Handbook (7th Edition):

Dhingra, Manuj. “Compressor stability management.” 2006. Web. 22 Nov 2019.

Vancouver:

Dhingra M. Compressor stability management. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/10433.

Council of Science Editors:

Dhingra M. Compressor stability management. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/10433


Georgia Tech

6. Gutierrez Zea, Luis Benigno. Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles.

Degree: PhD, Electrical and Computer Engineering, 2004, Georgia Tech

 In this thesis, an architecture for the adaptive mode transition control of unmanned aerial vehicles (UAV) is presented. The proposed architecture consists of three levels:… (more)

Subjects/Keywords: Mode transition control; Multi model adaptive control; Unmanned aerial vehicles; Fuzzy neural networks

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APA (6th Edition):

Gutierrez Zea, L. B. (2004). Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/4995

Chicago Manual of Style (16th Edition):

Gutierrez Zea, Luis Benigno. “Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles.” 2004. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/4995.

MLA Handbook (7th Edition):

Gutierrez Zea, Luis Benigno. “Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles.” 2004. Web. 22 Nov 2019.

Vancouver:

Gutierrez Zea LB. Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles. [Internet] [Doctoral dissertation]. Georgia Tech; 2004. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/4995.

Council of Science Editors:

Gutierrez Zea LB. Adaptive Mode Transition Control Architecture with an Application to Unmanned Aerial Vehicles. [Doctoral Dissertation]. Georgia Tech; 2004. Available from: http://hdl.handle.net/1853/4995


Georgia Tech

7. Sattigeri, Ramachandra Jayant. Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight.

Degree: PhD, Aerospace Engineering, 2007, Georgia Tech

 The role of vision as an additional sensing mechanism has received a lot of attention in recent years in the context of autonomous flight applications.… (more)

Subjects/Keywords: Neural networks; Target tracking; Adaptive estimation; Adaptive Kalman filters; Integrated guidance and control; Adaptive guidance and control; Adaptive control; Unmanned aerial vehicles; Multiple-vehicle formation; Guidance systems (Flight); Robot vision; Adaptive control systems; Drone aircraft; Flight control

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APA (6th Edition):

Sattigeri, R. J. (2007). Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16272

Chicago Manual of Style (16th Edition):

Sattigeri, Ramachandra Jayant. “Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/16272.

MLA Handbook (7th Edition):

Sattigeri, Ramachandra Jayant. “Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight.” 2007. Web. 22 Nov 2019.

Vancouver:

Sattigeri RJ. Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/16272.

Council of Science Editors:

Sattigeri RJ. Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16272


Georgia Tech

8. Watanabe, Yoko. Stochastically optimized monocular vision-based navigation and guidance.

Degree: PhD, Aerospace Engineering, 2007, Georgia Tech

 The objective of this thesis is to design a relative navigation and guidance system for unmanned aerial vehicles (UAVs) for vision-based control applications. The vision-based… (more)

Subjects/Keywords: Optimal guidance; Nonlinear estimation; UAV; Vision-based control; Drone aircraft; Robot vision; Computer vision; Guidance systems (Flight); Aids to air navigation; Adaptive control systems; Real-time data processing; Real-time control

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APA (6th Edition):

Watanabe, Y. (2007). Stochastically optimized monocular vision-based navigation and guidance. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/22545

Chicago Manual of Style (16th Edition):

Watanabe, Yoko. “Stochastically optimized monocular vision-based navigation and guidance.” 2007. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/22545.

MLA Handbook (7th Edition):

Watanabe, Yoko. “Stochastically optimized monocular vision-based navigation and guidance.” 2007. Web. 22 Nov 2019.

Vancouver:

Watanabe Y. Stochastically optimized monocular vision-based navigation and guidance. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/22545.

Council of Science Editors:

Watanabe Y. Stochastically optimized monocular vision-based navigation and guidance. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/22545


Georgia Tech

9. Zhao, Jinggen. Dynamic Wake Distortion Model for Helicopter Maneuvering Flight.

Degree: PhD, Aerospace Engineering, 2005, Georgia Tech

 A new rotor dynamic wake distortion model, which can be used to account for the rotor transient wake distortion effect on inflow across the rotor… (more)

Subjects/Keywords: Maneuvering flight; Rotor inflow; Helicopter aerodynamics; Flight simulation; Helicopter flight simulators; Wakes (Aerodynamics) Mathematical models; Rotors (Helicopters) Aerodynamics

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APA (6th Edition):

Zhao, J. (2005). Dynamic Wake Distortion Model for Helicopter Maneuvering Flight. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7103

Chicago Manual of Style (16th Edition):

Zhao, Jinggen. “Dynamic Wake Distortion Model for Helicopter Maneuvering Flight.” 2005. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/7103.

MLA Handbook (7th Edition):

Zhao, Jinggen. “Dynamic Wake Distortion Model for Helicopter Maneuvering Flight.” 2005. Web. 22 Nov 2019.

Vancouver:

Zhao J. Dynamic Wake Distortion Model for Helicopter Maneuvering Flight. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/7103.

Council of Science Editors:

Zhao J. Dynamic Wake Distortion Model for Helicopter Maneuvering Flight. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7103


Georgia Tech

10. Hayakawa, Tomohisa. Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems.

Degree: PhD, Aerospace Engineering, 2003, Georgia Tech

 In light of the complex and highly uncertain nature of dynamical systems requiring controls, it is not surprising that reliable system models for many high… (more)

Subjects/Keywords: Clinical pharmacology; Hybrid systems; Nonnegative and compartmental systems; Nonlinear dynamical systems; Neural networks; Adaptive control; Automated anesthesia; Robust control; Nonlinear systems; Neural networks (Computer science); Adaptive control systems

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APA (6th Edition):

Hayakawa, T. (2003). Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/5292

Chicago Manual of Style (16th Edition):

Hayakawa, Tomohisa. “Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems.” 2003. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/5292.

MLA Handbook (7th Edition):

Hayakawa, Tomohisa. “Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems.” 2003. Web. 22 Nov 2019.

Vancouver:

Hayakawa T. Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2003. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/5292.

Council of Science Editors:

Hayakawa T. Direct Adaptive Control for Nonlinear Uncertain Dynamical Systems. [Doctoral Dissertation]. Georgia Tech; 2003. Available from: http://hdl.handle.net/1853/5292


Georgia Tech

11. Kannan, Suresh Kumar. Adaptive Control of Systems in Cascade with Saturation.

Degree: PhD, Aerospace Engineering, 2005, Georgia Tech

 This thesis extends the use of neural-network-based model reference adaptive control to systems that occur as cascades. In general, these systems are not feedback linearizable.… (more)

Subjects/Keywords: Adaptive control; Neural networks; Autonomous helicopter; Ducted fan; Actuator saturation; Inner-outer loop; Transition flight; VTOL

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APA (6th Edition):

Kannan, S. K. (2005). Adaptive Control of Systems in Cascade with Saturation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7566

Chicago Manual of Style (16th Edition):

Kannan, Suresh Kumar. “Adaptive Control of Systems in Cascade with Saturation.” 2005. Doctoral Dissertation, Georgia Tech. Accessed November 22, 2019. http://hdl.handle.net/1853/7566.

MLA Handbook (7th Edition):

Kannan, Suresh Kumar. “Adaptive Control of Systems in Cascade with Saturation.” 2005. Web. 22 Nov 2019.

Vancouver:

Kannan SK. Adaptive Control of Systems in Cascade with Saturation. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1853/7566.

Council of Science Editors:

Kannan SK. Adaptive Control of Systems in Cascade with Saturation. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7566

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