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Archaeology International
Architecture_MPS
Europe and the World: A law review
Film Education Journal
History Education Research Journal
International Journal of Development Education and Global Learning
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Journal of Bentham Studies
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Research for All
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About UCL Press
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Hybrid Systems: Computation and Control
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
other
Author(s):
Lars Blackmore
,
Askar Bektassov
,
Masahiro Ono
,
Brian C. Williams
Publication date
(Print):
2007
Publisher:
Springer Berlin Heidelberg
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Sequential Monte Carlo Methods in Practice
Arnaud Doucet
,
Nando Freitas
,
Neil Gordon
(2001)
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Discrete-Time Markov Jump Linear Systems
Oswaldo Luiz Valle do Costa
,
Ricardo Marques
,
Marcelo Dutra Fragoso
(2005)
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Chance-constrained model predictive control
Michael Nikolaou
,
Alexander Schwarm
(1999)
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Author and book information
Book Chapter
Pages
: 104-117
DOI:
10.1007/978-3-540-71493-4_11
SO-VID:
6726b3cb-8666-4a8e-9703-31c75247df7b
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Book chapters
pp. 61
Model Checking Genetic Regulatory Networks with Parameter Uncertainty
pp. 104
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
pp. 174
Systematic Simulation Using Sensitivity Analysis
pp. 231
Approximately Bisimilar Finite Abstractions of Stable Linear Systems
pp. 329
Robust Test Generation and Coverage for Hybrid Systems
pp. 371
On Self-triggered Full-Information H-Infinity Controllers
pp. 428
Comparing Forward and Backward Reachability as Tools for Safety Analysis
pp. 473
The Image Computation Problem in Hybrid Systems Model Checking
pp. 529
Approximate Simulation Relations and Finite Abstractions of Quantized Control Systems
pp. 557
Safety Verification of an Aircraft Landing Protocol: A Refinement Approach
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