Books on the topic 'Robust state estimation'

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1

Kyun, Chung Wan, ed. Perturbation compensator based robust tracking control and state estimation of mechanical systems. Berlin: Springer, 2004.

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2

Kwon, Sang Joo, and Wan Kyun Chung. Perturbation Compensator based Robust Tracking Control and State Estimation of Mechanical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/bfb0121383.

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3

Luc, Jaulin, ed. Applied interval analysis: With examples in parameter and state estimation, robust control and robotics. London: Springer, 2001.

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4

Jaulin, Luc. Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics. London: Springer London, 2001.

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5

Leigh, J. R. Control Theory. 2nd ed. Stevenage: IET, 2004.

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6

Zhao, Junbo, Marcos Netto, and Lamine Mili. Robust Dynamic State Estimation of Power Systems. Elsevier, 2023.

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7

Zhao, Junbo, Marcos Netto, and Lamine Mili. Robust Dynamic State Estimation of Power Systems. Elsevier, 2023.

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8

Kohan, Rashid R. Robust state estimation and control of highway traffic systems. 2001.

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9

Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Incorporated, John, 2022.

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10

Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Limited, John, 2022.

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11

Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Incorporated, John, 2022.

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12

Shmaliy, Yuriy S., and Shunyi Zhao. Optimal and Robust State Estimation: Finite Impulse Response and Kalman Approaches. Wiley & Sons, Incorporated, John, 2022.

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13

Pertubation Compensator based Robust Tracking Control and State Estimation of Mechanical Systems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b96975.

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14

WAN Kyun Chung,Sangjoo Kwon. Perturbation Compensator Based Robust Tracking Control and State Estimation of Mechanical Systems. Springer, 2008.

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15

Differential neural networks for robust nonlinear control : identification, state estimation and trajectory tracking. NJ : World Scientific, 2001: World Scientific Publishing Co Pte Ltd, 2001.

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16

Applied Interval Analysis: With Examples in Parameter and State Estimation, Robust Control and Robotics. Springer, 2011.

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17

Inverted Pendulum in Control Theory and Robotics: From Theory to New Innovations. Institution of Engineering & Technology, 2017.

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18

Barfoot, Timothy D. State Estimation for Robotics. Cambridge University Press, 2017.

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19

Barfoot, Timothy D. State Estimation for Robotics. Cambridge University Press, 2017.

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20

Barfoot, Timothy D. State Estimation for Robotics. Cambridge University Press, 2017.

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21

Dang, Tung, Shehryar Khattak, Frank Mascarich, Nikhil Khedekar, and Christos Papachristos. Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots. Now Publishers, 2018.

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22

Sanfeliu, Alberto, and Juan Andrade Cetto. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building. Springer, 2010.

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23

Andrade-Cetto, Juan, and Alberto Sanfeliu. Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building (Springer Tracts in Advanced Robotics). Springer, 2006.

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