| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Advanced model predictive control framework for autonomous intelligent mechatronic systems: A tutorial overview and perspectives
|
Shi, Yang
|
|
|
52 |
C |
p. 170-196
|
artikel
|
| 2 |
Advances in trajectory optimization for space vehicle control
|
Malyuta, Danylo
|
|
|
52 |
C |
p. 282-315
|
artikel
|
| 3 |
A historical perspective of adaptive control and learning
|
Annaswamy, Anuradha M.
|
|
|
52 |
C |
p. 18-41
|
artikel
|
| 4 |
A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems
|
Marshall, Julius A.
|
|
|
52 |
C |
p. 390-427
|
artikel
|
| 5 |
A survey on clustering methods for distributed and networked control systems
|
Chanfreut, Paula
|
|
|
52 |
C |
p. 75-90
|
artikel
|
| 6 |
Behavioral systems theory in data-driven analysis, signal processing, and control
|
Markovsky, Ivan
|
|
|
52 |
C |
p. 42-64
|
artikel
|
| 7 |
Boundary stabilization of 1D hyperbolic systems
|
Hayat, Amaury
|
|
|
52 |
C |
p. 222-242
|
artikel
|
| 8 |
Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization
|
Zheng, Yang
|
|
|
52 |
C |
p. 243-279
|
artikel
|
| 9 |
Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview
|
Tsukamoto, Hiroyasu
|
|
|
52 |
C |
p. 135-169
|
artikel
|
| 10 |
Control of aerospace systems
|
Kolmanovsky, Ilya
|
|
|
52 |
C |
p. 280-281
|
artikel
|
| 11 |
Convex output feedback model predictive control for mitigation of COVID-19 pandemic
|
Péni, T.
|
|
|
52 |
C |
p. 543-553
|
artikel
|
| 12 |
Corrigendum to “A tutorial on modeling and analysis of dynamic social networks. Part I.” [Annu. Rev. Control 43 (2017) 65–79]
|
Proskurnikov, Anton V.
|
|
|
52 |
C |
p. 602
|
artikel
|
| 13 |
COVID-19 epidemic control using short-term lockdowns for collective gain
|
Bisiacco, Mauro
|
|
|
52 |
C |
p. 573-586
|
artikel
|
| 14 |
Crowd management COVID-19
|
Durán-Polanco, Liliana
|
|
|
52 |
C |
p. 465-478
|
artikel
|
| 15 |
Damping-enabling technologies for broadband control of piezo-stages: A survey
|
Chen, Zhong
|
|
|
52 |
C |
p. 120-134
|
artikel
|
| 16 |
Data-driven methods for present and future pandemics: Monitoring, modelling and managing
|
Alamo, Teodoro
|
|
|
52 |
C |
p. 448-464
|
artikel
|
| 17 |
Development, implementation, and experimental outdoor evaluation of quadcopter controllers for computationally limited embedded systems
|
Paredes, Juan
|
|
|
52 |
C |
p. 372-389
|
artikel
|
| 18 |
Dynamical characterization of antiviral effects in COVID-19
|
Abuin, Pablo
|
|
|
52 |
C |
p. 587-601
|
artikel
|
| 19 |
Editorial Board
|
|
|
|
52 |
C |
p. IFC
|
artikel
|
| 20 |
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems
|
Vermillion, Chris
|
|
|
52 |
C |
p. 330-357
|
artikel
|
| 21 |
Energy modeling and control for improved engine stability and efficiency in air vehicles
|
Jaddivada, Rupamathi
|
|
|
52 |
C |
p. 358-371
|
artikel
|
| 22 |
Event-triggered control for mitigating SIS spreading processes
|
Hashimoto, Kazumune
|
|
|
52 |
C |
p. 479-494
|
artikel
|
| 23 |
Hysteresis-based supervisory control with application to non-pharmaceutical containment of COVID-19
|
Bin, Michelangelo
|
|
|
52 |
C |
p. 508-522
|
artikel
|
| 24 |
Koopman operator dynamical models: Learning, analysis and control
|
Bevanda, Petar
|
|
|
52 |
C |
p. 197-212
|
artikel
|
| 25 |
Making flying microgrids work in future aircrafts and aerospace vehicles
|
Ilić, Marija D.
|
|
|
52 |
C |
p. 428-445
|
artikel
|
| 26 |
Modeling and control of epidemics through testing policies
|
Niazi, Muhammad Umar B.
|
|
|
52 |
C |
p. 554-572
|
artikel
|
| 27 |
Multitask learning and nonlinear optimal control of the COVID-19 outbreak: A geometric programming approach
|
Hayhoe, Mikhail
|
|
|
52 |
C |
p. 495-507
|
artikel
|
| 28 |
Non-integer (or fractional) power model to represent the complexity of a viral spreading: Application to the COVID-19
|
Oustaloup, Alain
|
|
|
52 |
C |
p. 523-542
|
artikel
|
| 29 |
On robust synchronization of nonlinear systems with application to grid integration of renewable energy sources
|
Ahmed, Hafiz
|
|
|
52 |
C |
p. 213-221
|
artikel
|
| 30 |
Quantitative comparison of time-varying system identification methods to describe human joint impedance
|
van de Ruit, Mark
|
|
|
52 |
C |
p. 91-107
|
artikel
|
| 31 |
Reinforcement learning for batch process control: Review and perspectives
|
Yoo, Haeun
|
|
|
52 |
C |
p. 108-119
|
artikel
|
| 32 |
Robust hybrid supervisory control for spacecraft close proximity missions
|
Malladi, Bharani P.
|
|
|
52 |
C |
p. 316-329
|
artikel
|
| 33 |
The dilemma of PID tuning
|
Somefun, Oluwasegun Ayokunle
|
|
|
52 |
C |
p. 65-74
|
artikel
|
| 34 |
The scenario approach: A tool at the service of data-driven decision making
|
Campi, M.C.
|
|
|
52 |
C |
p. 1-17
|
artikel
|
| 35 |
Third special section on systems and control research efforts against COVID-19 and future pandemics
|
Hernandez-Vargas, Esteban A
|
|
|
52 |
C |
p. 446-447
|
artikel
|
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