#### Filter Results:

- Full text PDF available (8)

#### Publication Year

2000

2016

- This year (0)
- Last 5 years (2)
- Last 10 years (4)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Naira Hovakimyan, Flavio Nardi, Anthony J. Calise, Nakwan Kim
- IEEE Trans. Neural Networks
- 2002

We consider adaptive output feedback control of uncertain nonlinear systems, in which both the dynamics and the dimension of the regulated system may be unknown. However, the relative degree of the regulated output is assumed to be known. Given a smooth reference trajectory, the problem is to design a controller that forces the system measurement to track… (More)

- Nakwan Kim, Anthony J. Calise, +13 authors Ilkay Yavrucuk
- 2003

To my wife [ × Ð M 6 U cN iii ACKNOWLEDGEMENTS First and foremost, I would like to thank my advisor Dr. Anthony J. Calise for his wisdom, generosity, and limitless patience in helping me to understand and fulfill my study. The level of professional advice and insight has been incredible. I am fortunate to have worked with him. I would like to express my… (More)

- Nakwan Kim, Anthony J. Calise
- IEEE Transactions on Neural Networks
- 2007

Several extensions to neural network (NN)-based adaptive output feedback control of nonlinear systems are developed. An extension from linearly to nonlinearly parameterized NNs is given for a direct adaptive output feedback approach. An extension that permits the introduction of e-modification in both the direct adaptive approach and an error-observer-based… (More)

This paper presents an adaptive guidance and control law algorithm for implementation on a pair of Unmanned Aerial Vehicles (UAVs) in a 6 DOF leader-follower formation flight simulation. The objective of the simulation study is to prepare for a flight test involving a pair of UAVs in formation flight where the follower aircraft will be equipped with an… (More)

We consider adaptive output feedback control of uncertain nonlinear systems, in which both the dynamics and the dimension of the regulated plant may be unknown. Only knowledge of relative degree is assumed. Given a smooth reference trajectory, the problem is to design a controller that forces the system measurement to track it with bounded errors. The… (More)

- Naira Hovakimyan, Nakwan Kim, Anthony J. Calise, Eric Corban
- 2001

We consider adaptive output feedback neuro-control of uncertain nonlinear systems, and in particular its application to high-bandwidth flight control of unmanned rotorcraft. Given a smooth reference trajectory, the problem is to design a controller that would force the system measurement to track it asymptotically or with bounded errors. The classical… (More)

This paper summarizes the formulation of two distinct methods for high-bandwidth nonlinear adaptive flight control of an unmanned helicopter testbed, and presents an evaluation and comparison of the two controllers in both simulation and flight test when subject to unmodeled dynamics, time delay, and actuator position and rate saturation. The attitude… (More)

- Do-Myung Kim, Deokryeol Kim, Jinwon Kim, Nakwan Kim, Jinyoung Suk
- 2007 International Conference on Control…
- 2007

This paper describes development of a simulation environment for multiple UAVs. The simulation environment consists of several PCs, each of them represents simulated motion of individual UAV and a host PC that controls and monitors the whole UAVs. UAVs can fly individually or sometimes they can cooperate to fly in formation following the leader. Each UAV… (More)

- Joohyun Woo, Nakwan Kim
- 2016 13th International Conference on Ubiquitous…
- 2016

This paper proposes vision based collision risk estimation method for an unmanned surface vehicle. Vision based target motion analysis was performed to transform vision information of obstacles into motion information. In vision based target motion analysis, camera model and optical flow are adopted. Collision risk was calculated by fuzzy estimator which… (More)

This paper presents a novel approach to adaptive output feedback control. The approach permits adaptation to both parametric uncertainty and unmodeled dynamics. Of particular interest here is its use in high bandwidth ight control, which is made possible through interaction with poorly modeled high frequency dynamics. Adaptation is achieved using only… (More)