Hybrid Dynamical Systems
Abstract
Robust stability and control for systems that combine continuous-time and discrete-time dynamics. This article is a tutorial on modeling the dynamics of hybrid systems, on the elements of stability theory for hybrid systems, and on the basics of hybrid control. The presentation and selection of material is oriented toward the analysis of asymptotic stability in hybrid systems and the design of stabilizing hybrid controllers. Our emphasis on the robustness of asymptotic stability to data perturbation, external disturbances, and measurement error distinguishes the approach taken here from other approaches to hybrid systems. While we make some connections to alternative approaches, this article does not aspire to be a survey of the hybrid system literature, which is vast and multifaceted.
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Hybrid control refers to hierarchically organized systems that choose among discrete control modes at higher levels, and for each of these modes, different continuous controllers operate at lower levels.
“Hybrid control refers to hierarchically organized systems that choose among discrete control modes at higher levels, and for each of these modes, different continuous controllers operate at lower levels (Branicky et al., 1998; Goebel et al., 2009).”
From Lessons for Robotics From the Control Architecture of the Octopus (2022) · cites this paper as Goebel et al., 2009
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Self-citationToivonen, H. T. T., & SÅGFORS, M. F. (1997) · International Journal of Control · doi:10.1080/002071797224757 · Cited by 46 · see citing works
A new approach to the design of mode switching control in hard disk drive servo systems
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Systems with Lebesgue Sampling
Åström, K. J., & Bernhardsson, B. (2007) · Springer eBooks · doi:10.1007/3-540-36106-5_1 · Cited by 44 · see citing works
A component-based approach to modeling and simulating mixed-signal and hybrid systems
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Lyapunov-Like Conditions for the Existence of Zeno Behavior in Hybrid and Lagrangian Hybrid Systems
Lamperski, A., & Ames, A. D. (2007) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2007.4435003 · Cited by 42 · see citing works
Asynchronous hybrid systems with jumps – analysis and synthesis methods
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Lyapunov characterization of Zeno behavior in hybrid systems
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Self-citationContinuous selections of trajectories of hybrid systems
Broucke, M. E., & Arapostathis, A. (2002) · Systems & Control Letters · doi:10.1016/s0167-6911(02)00185-8 · Cited by 35 · see citing works
Simplicius on Aristotle's Physics 6
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Cadenced runs of impulse and hybrid control systems
Aubin, J., & Haddad, G. (2001) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.590 · Cited by 30 · see citing works
Robust Performance Verification of Adaptive Robust Controller for Hard Disk Drives
Taghirad, H. D., & Jamei, E. (2008) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2007.896502 · Cited by 30 · see citing works
Ames, A. D., Abate, A., & Sastry, S. (2007) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2007.4434891 · Cited by 29 · see citing works
Discrete-time control design with positive semi-definite Lyapunov functions
Grizzle, J. W., & Kang, J. (2001) · Systems & Control Letters · doi:10.1016/s0167-6911(01)00110-4 · Cited by 26 · see citing works
Zeno behavior in homogeneous hybrid systems
Goebel, R. K., & Teel, A. R. (2008) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2008.4739223 · Cited by 26 · see citing works
Self-citationSupervising a family of hybrid controllers for robust global asymptotic stabilization
Sanfelice, R. G., Teel, A. R., & Goebel, R. K. (2008) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2008.4739481 · Cited by 26 · see citing works
Self-citationConstructions of strict Lyapunov functions for discrete time and hybrid time-varying systems
Malisoff, M., & Mazenc, F. (2008) · Cited by 23 · see citing works
Stability of hybrid automata with average dwell time: an invariant approach
Mitra, S., & Liberzon, D. (2004) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2004.1430238 · Cited by 22 · see citing works
Hybrid Systems: Limit Sets and Zero Dynamics with a View Toward Output Regulation
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Self-citationRelaxation Results for Hybrid Inclusions
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Self-citationConstructions of strict Lyapunov functions for discrete time and hybrid time-varying systems
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Smooth patchy control Lyapunov functions
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Self-citationA nested Matrosov theorem for hybrid systems
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Self-citationOn robust, global stabilization of the attitude of an underactuated rigid body using hybrid feedback
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Self-citationComplex Hybrid Systems: Stability Analysis for Omega Limit Sets
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Self-citationA Globally Stabilizing Time-switching Control Strategy for an Underactuated Rigid Body
Casagrande, D., Astolfi, A., & Parisini, T. (2007) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2007.4282562 · Cited by 4 · see citing works
Generalised Hybrid Trajectory Spaces
Collins, P. (2006) · Data Archiving and Networked Services (DANS) · Cited by 3 · see citing works
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Periodic Event-Triggered Control for Linear Systems
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Self-citationA Small-Gain Approach to Robust Event-Triggered Control of Nonlinear Systems
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Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems
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Perspectives on the integration between first-principles and data-driven modeling
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Practical verification of decision-making in agent-based autonomous systems
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Lessons for Robotics From the Control Architecture of the Octopus
Sivitilli, D. M., Smith, J. R., & Gire, D. H. (2022) · Frontiers in Robotics and AI · doi:10.3389/frobt.2022.862391 · Cited by 13 · see citing works
“Hybrid Control Hybrid control refers to hierarchically organized systems that choose among discrete control modes at higher levels, and for each of these modes, different continuous controllers operate at lower levels (Branicky et al., 1998; Goebel et al., 2009).”
Background
- Authors
- Goebel, R., Sanfelice, R. G., & Teel, A. R.
- Affiliations
- Loyola University Chicago (US)
- University of Arizona (US)
- University of California, Santa Barbara (US)
- Venue
- IEEE Control Systems
- Published
- 2009-04
- Volume
- 29
- Issue
- 2
- Pages
- 28-93
- ISSN
- 1066-033X (ISSN-L)
- 1941-000X
- OpenAlex
- W2099308299
- Cited by
- 1,656
- References
- 150
- Citations by year
- 2026: 36 · 2025: 67 · 2024: 67 · 2023: 66 · 2022: 61 · 2021: 118 · 2020: 117 · 2019: 115 · 2018: 106 · 2017: 109 · 2016: 129 · 2015: 117 · 2014: 152 · 2013: 120 · 2012: 103
- FWCI
- 147.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Control Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Formal Methods in Verification
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Keywords
- hybrid dynamical systems, robust stability, hybrid control, asymptotic stability, stabilizing controllers, data perturbation, external disturbances, measurement error
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