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Books on the topic 'Deterministic optimal control'

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Author: Grafiati
Published: 18 May 2024

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1

Jadamba, Baasansuren, Akhtar A. Khan, Stanisław Migórski, and Miguel Sama. Deterministic and Stochastic Optimal Control and Inverse Problems. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003050575.

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2

Carlson, D. A. Infinite horizon optimal control: Deterministic and stochastic systems. 2nd ed. Berlin: Springer-Verlag, 1991.

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3

Carlson, Dean A. Infinite Horizon Optimal Control: Deterministic and Stochastic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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4

Mordukhovich, Boris S., and Hector J. Sussmann, eds. Nonsmooth Analysis and Geometric Methods in Deterministic Optimal Control. New York, NY: Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4613-8489-2.

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5

Optimal design of control systems: Stochastic and deterministic problems. New York: M. Dekker, 1999.

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6

Sh, Mordukhovich B., and Sussmann Hector J. 1946-, eds. Nonsmooth analysis and geometric methods in deterministic optimal control. New York: Springer, 1996.

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7

Fleming, Wendell H. Deterministic and Stochastic Optimal Control. Springer, 2012.

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8

Fleming, Wendell H., and Raymond W. Rishel. Deterministic and Stochastic Optimal Control. Springer London, Limited, 2012.

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9

Moyer, H. Gardner. Deterministic Optimal Control: An Introduction for Scientists. Trafford Publishing, 2006.

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10

Khan, Akhtar A., Baasansuren Jadamba, Stanislaw Migorski, and Miguel Angel Sama Meige. Deterministic and Stochastic Optimal Control and Inverse Problems. Taylor & Francis Group, 2021.

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11

Khan, Akhtar A., Baasansuren Jadamba, Stanislaw Migorski, and Miguel Angel Sama Meige. Deterministic and Stochastic Optimal Control and Inverse Problems. Taylor & Francis Group, 2021.

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12

Deterministic and Stochastic Optimal Control and Inverse Problems. Taylor & Francis Group, 2021.

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13

Khan, Akhtar A., Baasansuren Jadamba, Stanisaw Migórski, and Miguel Sama. Deterministic and Stochastic Optimal Control and Inverse Problems. Taylor & Francis Group, 2021.

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14

Kolosov, Gennadii E. Optimal Design of Control Systems: Stochastic and Deterministic Problems. Taylor & Francis Group, 2020.

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15

Kolosov, Gennadii E. Optimal Design of Control Systems: Stochastic and Deterministic Problems. Taylor & Francis Group, 2020.

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16

Kolosov, Gennadii E. Optimal Design of Control Systems: Stochastic and Deterministic Problems. Taylor & Francis Group, 2020.

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17

Nonsmooth Analysis and Geometric Methods in Deterministic Optimal Control. Springer, 2011.

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18

Boris S. Mordukhovich Hector J. Sussmann. Nonsmooth Analysis and Geometric Methods in Deterministic Optimal Control. Springer, 2011.

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19

Kolosov, Gennadii E. Optimal Design of Control Systems: Stochastic and Deterministic Problems. Taylor & Francis Group, 2020.

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20

Mordukhovich, Boris S., and Hector J. Sussmann. Nonsmooth Analysis and Geometric Methods in Deterministic Optimal Control. Springer, 2012.

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21

Deterministic and Stochastic Optimal Control. Springer-Verlag, 1975.

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22

Boudreau, Joseph F., and Eric S. Swanson. Data modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198708636.003.0016.

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Abstract:
A variety of techniques for extracting information from data are presented, from pedestrian approaches such as the centuries old linear least-squares fit, to elegant binned and unbinned likelihood fits. A treatment of statistical combination of data leads to an introduction to the powerful Kalman filter approach, used to determine optimal estimates of deterministic-stochastic systems. In experimental physics the Kalman filter is used estimate trajectories from data, but it also finds applications in industrial process control, and in the aeronautics and robots industries. These techniques typically rely on either analytic or numerical optimization of an objective function. Orthogonal series density estimation, a Fourier technique, is also discussed.
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