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  • The article deals with the stability constraint in nonlinear continuous-time dynamic model identification. The identification is formulated as a boundary value problem. Constraining the norm of the terminal sensitivity to the initial condition is used to drive the model state to a stable equilibrium. Solving such boundary value problem on an extending finite time horizon may be numerically more appealing than constraining the eigenvalues of the Jacobian matrix evaluated at the equilibrium point in the state space.
  • The article deals with the stability constraint in nonlinear continuous-time dynamic model identification. The identification is formulated as a boundary value problem. Constraining the norm of the terminal sensitivity to the initial condition is used to drive the model state to a stable equilibrium. Solving such boundary value problem on an extending finite time horizon may be numerically more appealing than constraining the eigenvalues of the Jacobian matrix evaluated at the equilibrium point in the state space. (en)
Title
  • Enforcing Stability in Steady-State Optimization
  • Enforcing Stability in Steady-State Optimization (en)
skos:prefLabel
  • Enforcing Stability in Steady-State Optimization
  • Enforcing Stability in Steady-State Optimization (en)
skos:notation
  • RIV/68407700:21230/12:00197724!RIV13-MSM-21230___
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  • P(GAP103/11/1353), S
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  • 134395
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  • RIV/68407700:21230/12:00197724
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  • Steady-state stability; System identification; Nonlinear systems; Convex optimisation, Parameter identification; Continuous-time systems (en)
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  • [28EFB3E9A780]
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  • Brusel
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  • Laxenburg
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  • Proceedings of the 16th IFAC Symposium on System Identification
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  • Beňo, Radek
  • Havlena, Vladimír
  • Pachner, D.
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issn
  • 1474-6670
number of pages
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  • IFAC
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  • 978-3-902823-06-9
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  • 21230
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