Compensation of input delay that depends on delayed input
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The controller incorporates a compensator that effectively cancels the influence of inhomogeneous terms in the PDE actuator state, without imposing restrictions on the severity of the nonlinearity or the feasibility condition, while guaranteeing the latter through an assumption on the positivity of the transport speed to avoid an ill-posed problem.
“Our controller incorporates a compensator that effectively cancels the influence of inhomogeneous terms in the PDE actuator state, without imposing any restrictions on the severity of the nonlinearity or the feasibility condition [5,6], while guaranteeing the latter through an assumption on the positivity of the transport speed to avoid an illposed problem (see [14,17]).”
From Multi-layer predictor feedback design for nonlinear integro-differential equations with state-dependent input delays (2026) · cites this paper as [14]
System (1)-(3) is no longer equivalent to the classical time-delay system in [5,6,14-17].
“Equation (31) indicates that system (1)-(3) is no longer equivalent to the following classical time-delay system in [5,6,14-17]”
From Multi-layer predictor feedback design for nonlinear integro-differential equations with state-dependent input delays (2026) · cites this paper as [14]
Unlike prior work [18] and [14] that establishes globally stabilizing safe softened bang-bang control under predictor feedback, the present setting admits only local guarantees due to the presence of source terms.
“In contrast to [18] and [14], which establish globally stabilizing, safe softened bang-bang control under a predictor feedback design, the present setting admits only local guarantees due to the presence of source terms.”
From Multi-layer predictor feedback design for nonlinear integro-differential equations with state-dependent input delays (2026) · cites this paper as [14]
Cites
Time-delay systems: an overview of some recent advances and open problems
Richard, J.-P. (2003) · Automatica · doi:10.1016/s0005-1098(03)00167-5 · Cited by 3,353 · see citing works
On characterizations of the input-to-state stability property
Sontag, E. D., & Wang, Y. (1995) · Systems & Control Letters · doi:10.1016/0167-6911(94)00050-6 · Cited by 1,815 · see citing works
Introduction to Modeling and Control of Internal Combustion Engine Systems
Guzzella, L., & Onder, C. H. (2004) · Springer eBooks · doi:10.1007/978-3-662-08003-0 · Cited by 992 · see citing works
Modeling Supply Chain Dynamics: A multiagent Approach
Swaminathan, J. M., Smith, S. F., & Sadeh, N. M. (1998) · Decision Sciences · doi:10.1111/j.1540-5915.1998.tb01356.x · Cited by 878 · see citing works
Coron, J. (2009) · Mathematical surveys and monographs · doi:10.1090/surv/136 · Cited by 854 · see citing works
Introduction to Modeling and Control of Internal Combustion Engine Systems
Guzzella, L., & Onder, C. H. (2009) · Springer eBooks · doi:10.1007/978-3-642-10775-7 · Cited by 747 · see citing works
American Control Conference 1994
Beauchard, S. D. K. (1994) · Computing & Control Engineering Journal · doi:10.1049/cce:19940511 · Cited by 568 · see citing works
2014 American Control Conference
(2014) · doi:10.1109/acc20659.2014 · Cited by 460 · see citing works
Simulation in the supply chain context: a survey
Terzi, S., & Cavalieri, S. (2003) · Computers in Industry · doi:10.1016/s0166-3615(03)00104-0 · Cited by 440 · see citing works
Tako, A. A., & Robinson, S. (2011) · Decision Support Systems · doi:10.1016/j.dss.2011.11.015 · Cited by 427 · see citing works
Input Delay Compensation for Forward Complete and Strict-Feedforward Nonlinear Systems
Krstić, M. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2034923 · Cited by 393 · see citing works
2009 American Control Conference
(2009) · doi:10.1109/acc14809.2009 · Cited by 393 · see citing works
Lyapunov Stability of Linear Predictor Feedback for Time-Varying Input Delay
Krstić, M. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2038196 · Cited by 312 · see citing works
Papadopoulos, C. T., & Heavey, C. (1996) · European Journal of Operational Research · doi:10.1016/0377-2217(95)00378-9 · Cited by 310 · see citing works
Supply chain simulation tools and techniques: a survey
Kleijnen, J. P. C. (2005) · International Journal of Simulation and Process Modelling · doi:10.1504/ijspm.2005.007116 · Cited by 257 · see citing works
Compensation of state-dependent input delay for nonlinear systems
Bekiaris-Liberis, N., & Krstic, M. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2012.2208294 · Cited by 229 · see citing works
Compensating a String PDE in the Actuation or Sensing Path of an Unstable ODE
Krstić, M. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2015557 · Cited by 189 · see citing works
Compensation of Time-Varying Input and State Delays for Nonlinear Systems
Bekiaris-Liberis, N. K., & Krstić, M. (2011) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4005278 · Cited by 177 · see citing works
Self-citationA Model for the Dynamics of large Queuing Networks and Supply Chains
Armbruster, D., Degond, P., & Ringhofer, C. A. (2006) · SIAM Journal on Applied Mathematics · doi:10.1137/040604625 · Cited by 169 · see citing works
Gjerdrum, J., Shah, N., & Papageorgiou, L. G. (2001) · Production Planning & Control · doi:10.1080/09537280150204013 · Cited by 166 · see citing works
Stabilization by Means of Approximate Predictors for Systems with Delayed Input
Karafyllis, I. (2011) · SIAM Journal on Control and Optimization · doi:10.1137/100781973 · Cited by 105 · see citing works
Compensation of Wave Actuator Dynamics for Nonlinear Systems
Bekiaris-Liberis, N. K., & Krstić, M. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2309057 · Cited by 96 · see citing works
Self-citationAutonomous control of production networks using a pheromone approach
Armbruster, D., de Beer, C., Freitag, M., et al. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2006.01.052 · Cited by 93 · see citing works
Nonlinear stabilization through wave PDE dynamics with a moving uncontrolled boundary
Cai, X., & Krstić, M. (2016) · Automatica · doi:10.1016/j.automatica.2016.01.043 · Cited by 92 · see citing works
Application of spindle speed variation for chatter suppression in turning
Otto, A., & Radons, G. (2013) · CIRP journal of manufacturing science and technology · doi:10.1016/j.cirpj.2013.02.002 · Cited by 89 · see citing works
Control of Continuum Models of Production Systems
Marca, M. L., Armbruster, D., Herty, M., et al. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2046925 · Cited by 86 · see citing works
Existence of Solutions for Supply Chain Models Based on Partial Differential Equations
Herty, M., Klar, A., & Piccoli, B. (2007) · SIAM Journal on Mathematical Analysis · doi:10.1137/060659478 · Cited by 85 · see citing works
Smith, H. L. (1993) · Mathematical Biosciences · doi:10.1016/0025-5564(93)90006-v · Cited by 68 · see citing works
Bresch‐Pietri, D., Chauvin, J., & Petit, N. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2322238 · Cited by 68 · see citing works
Nonlinear control under wave actuator dynamics with time‐ and state‐dependent moving boundary
Cai, X., & Krstić, M. (2013) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3083 · Cited by 60 · see citing works
On the coupling of systems of hyperbolic conservation laws with ordinary differential equations
Borsche, R., Colombo, R. M., & Garavello, M. (2010) · Nonlinearity · doi:10.1088/0951-7715/23/11/002 · Cited by 55 · see citing works
Analysis and control of a scalar conservation law modeling a highly re-entrant manufacturing system
Shang, P., & Wang, Z. (2010) · Journal of Differential Equations · doi:10.1016/j.jde.2010.09.003 · Cited by 48 · see citing works
Output Feedback Stabilization for a Scalar Conservation Law with a Nonlocal Velocity
Coron, J., & Wang, Z. (2013) · SIAM Journal on Mathematical Analysis · doi:10.1137/120902203 · Cited by 48 · see citing works
Feedback control and optimization for the production of commercial fuels by blending
Chèbre, M., Yann Creff, A., & Petit, N. (2010) · Journal of Process Control · doi:10.1016/j.jprocont.2010.01.008 · Cited by 45 · see citing works
Numerical schemes for nonlinear predictor feedback
Karafyllis, I., & Krstić, M. (2014) · Mathematics of Control Signals and Systems · doi:10.1007/s00498-014-0127-9 · Cited by 42 · see citing works
Predictor-based tracking for neuromuscular electrical stimulation
Karafyllis, I., Malisoff, M. A., de Queiroz, M. S., Krstić, M., & Yang, R. (2014) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3211 · Cited by 40 · see citing works
Compensation of state-dependent state delay for nonlinear systems
Bekiaris-Liberis, N. K., Janković, M., & Krstić, M. (2012) · Systems & Control Letters · doi:10.1016/j.sysconle.2012.05.002 · Cited by 38 · see citing works
Self-citationNonlinear control under delays that depend on delayed states
Bekiaris-Liberis, N. K., & Krstić, M. (2013) · European Journal of Control · doi:10.1016/j.ejcon.2013.05.016 · Cited by 27 · see citing works
Self-citationDisturbance attenuation in time-delay systems — A case study on engine air-fuel ratio control
Janković, M., & Magner, S. W. (2011) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2011.5990618 · Cited by 21 · see citing works
Diagne, M., & Krstic, M. (2015) · 2015 American Control Conference (ACC) · doi:10.1109/acc.2015.7172225 · Cited by 19 · see citing works
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Kahveci, & Jankovic (2010) · Cited by 19 · see citing works
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Diagne, M., Shang, P., & Wang, Z. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2444232 · Cited by 18 · see citing works
Self-citationContinuum modeling of supply chain networks using discontinuous Galerkin methods
Sun, S., & Dong, M. (2007) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2007.10.012 · Cited by 14 · see citing works
Exhaust oxygen sensor dynamic study
Wang, D. Y., & Detwiler, E. (2006) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2006.02.004 · Cited by 12 · see citing works
Prediction-based control of moisture in a convective flow
Bresch‐Pietri, D., & Coulon, K. (2015) · European Control Conference (ECC) · doi:10.1109/ecc.2015.7330523 · Cited by 12 · see citing works
Modeling and control of a single-phase marine cooling system
Hansen, M. R., Stoustrup, J., & Bendtsen, J. D. (2013) · Control Engineering Practice · doi:10.1016/j.conengprac.2013.08.006 · Cited by 9 · see citing works
Reduction model approach for systems with a time-varying delay
Mazenc, F., & Malisoff, M. A. (2015) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2015.7403440 · Cited by 9 · see citing works
Control of Multi Delayed Plants: Recycling CSTR
Albertos, P., & García, P. (2012) · International Conference on Computational Intelligence and Communication Networks (CICN) · doi:10.1109/cicn.2012.76 · Cited by 7 · see citing works
Well‐posedness and exact controllability of the mass balance equations for an extrusion process
Diagne, M., Shang, P., & Wang, Z. (2015) · Mathematical Methods in the Applied Sciences · doi:10.1002/mma.3719 · Cited by 5 · see citing works
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Jankovic, & Magner (2011) · Cited by 3 · see citing works
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Delay-Adaptive Boundary Control of Coupled Hyperbolic PDE-ODE Cascade Systems
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“A number of results considering delays that are described by complex transport actuation paths for nonlinear ODE plants were developed in [18] and [19], and the references therein.”
Self-citationLi, T., Shang, P., & Diagne, M. (2026) · Automatica · doi:10.1016/j.automatica.2026.113282
Self-citation
- Authors
- Diagne, M., Bekiaris-Liberis, N., & Krstic, M.
- Affiliations
- Rensselaer Polytechnic Institute (US)
- Technical University of Crete (GR)
- Corresponding author
- Diagne, Mamadou
- Bekiaris-Liberis, Nikolaos
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 85
- Pages
- 362-373
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2754594566
- Cited by
- 36
- References
- 50
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 3 · 2023: 5 · 2022: 2 · 2021: 6 · 2020: 5 · 2019: 5 · 2018: 3
- FWCI
- 2.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Automatica (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Controllability of Differential Equations
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Keywords
- input delay compensation, actuator dynamics, global asymptotic stability, backstepping transformation, nonlinear cascade systems, queueing systems, production systems
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