Books By De Schutter, Bart

Displaying 1- 13 of 13 results for keyword "Bart-De-Schutter" books

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1.		Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models Author: Lendek, Zsófia Guerra, T. M. Babuska, Robert De Schutter, Bart ISBN: 978-3-642-26567-9 Book Format: Paperback List Price: USD $109.99 Publisher: Springer Berlin / Heidelberg Publication Date: Dec 2012 Quantity Note

2.		Reinforcement Learning and Dynamic Programming Using Function Approximators Author: Babuska, Robert Busoniu, Lucian De Schutter, Bart Ernst, Damien ISBN: 978-1-4398-2108-4 Book Format: Hardback List Price: AUD $196.00 Publisher: CRC Press LLC Publication Date: Apr 2010 Quantity Note

3.		Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems Author: Wang, Yihui Ning, Bin van den Boom, Ton De Schutter, Bart ISBN: 978-3-319-80909-0 Book Format: Paperback List Price: USD $149.99USD $109.99 Publisher: Springer International Publishing AG Publication Date: May 2018 Quantity Note

4.		Reinforcement Learning and Dynamic Programming Using Function Approximators Author: Busoniu, Lucian Babuska, Robert De Schutter, Bart Ernst, Damien ISBN: 978-1-351-83382-0 Book Format: Digital (delivered electronically) List Price: USD $195.00USD $145.00USD $58.95 Publisher: Taylor & Francis Group Publication Date: Jul 2017 Quantity Note

5.		Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems Author: Wang, Yihui Ning, Bin Van Den Boom, Ton De Schutter, Bart ISBN: 978-3-319-30888-3 Book Format: Hardback List Price: AUD $269.95 Publisher: Springer Publication Date: May 2016 Quantity Note

6.		Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models Author: Lendek, Zsófia Guerra, T. M. Babuska, Robert De Schutter, Bart ISBN: 978-3-642-26567-9 Book Format: Paperback List Price: AUD $311.95 Publisher: Springer London, Limited Publication Date: Dec 2012 Quantity Note

7.		Reinforcement Learning and Dynamic Programming Using Function Approximators Author: Busoniu, Lucian Babuska, Robert De Schutter, Bart Ernst, Damien ISBN: 978-1-315-21793-2 Book Format: Digital (delivered electronically) List Price: USD $195.00USD $145.00USD $58.95 Publisher: Taylor & Francis Group Publication Date: Jul 2017 Quantity Note

8.		Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models Author: Lendek, Zsófia Guerra, T. M. Babuska, Robert De Schutter, Bart ISBN: 978-3-642-16776-8 Book Format: Ebook List Price: USD $199.00 Publisher: Springer Publication Date: Nov 2010 Quantity Note

9.		Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems Author: Wang, Yihui Ning, Bin Van Den Boom, Ton De Schutter, Bart ISBN: 978-3-319-30888-3 Book Format: Hardback List Price: USD $149.99USD $109.99 Publisher: Springer International Publishing AG Publication Date: May 2016 Quantity Note

10.		Reinforcement Learning and Dynamic Programming Using Function Approximators Author: Babuska, Robert Busoniu, Lucian De Schutter, Bart Ernst, Damien ISBN: 978-1-4398-2108-4 Book Format: Hardback List Price: USD $130.00 Publisher: CRC Press LLC Publication Date: Apr 2010 Quantity Note

11.		Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems Author: Wang, Yihui Ning, Bin van den Boom, Ton De Schutter, Bart ISBN: 978-3-319-30889-0 Book Format: Ebook List Price: USD $129.00 Publisher: Springer Publication Date: Jun 2016 Quantity Note

12.		Reinforcement Learning and Dynamic Programming Using Function Approximators Author: Busoniu, Lucian Babuska, Robert De Schutter, Bart Ernst, Damien ISBN: 978-1-4398-2109-1 Book Format: Digital (delivered electronically) List Price: USD $195.00USD $145.00USD $58.95 Publisher: Taylor & Francis Group Publication Date: Jul 2017 Quantity Note

13.		Reinforcement Learning and Dynamic Programming Using Function Approximators Author: Busoniu, Lucian Babuska, Robert De Schutter, Bart Ernst, Damien ISBN: 978-1-351-82513-9 Book Format: Digital (delivered electronically) List Price: USD $195.00USD $145.00USD $58.95 Publisher: Taylor & Francis Group Publication Date: Jul 2017 Quantity Note