TY - GEN
T1 - L2-Gain Analysis of Coupled Linear 2D PDEs using Linear PI Inequalities
AU - Jagt, Declan S.
AU - Peet, Matthew M.
N1 - Funding Information:
Acknowledgement: This work was supported by National Science Foundation grant CMMI-1935453.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we present a new method for estimating the L2 -gain of systems governed by 2nd order linear Partial Differential Equations (PDEs) in two spatial variables, using semidefinite programming. It has previously been shown that, for any such PDE, an equivalent Partial Integral Equation (PIE) can be derived. These PIEs are expressed in terms of Partial Integral (PI) operators mapping states in L2[Ω], and are free of the boundary and continuity constraints appearing in PDEs. In this paper, we extend the 2D PIE representation to include input and output signals in ℝn, deriving a bijective map between solutions of the PDE and the PIE, along with the necessary formulae to convert between the two representations. Next, using the algebraic properties of PI operators, we prove that an upper bound on the L2-gain of PIEs can be verified by testing feasibility of a Linear PI Inequality (LPI), defined by a positivity constraint on a PI operator mapping ℝn × L2[Ω]. Finally, we use positive matrices to parameterize a cone of positive PI operators on ℝn × L2[Ω], allowing feasibility of the L2-gain LPI to be tested using semidefinite programming. We implement this test in the MATLAB toolbox PIETOOLS, and demonstrate that this approach allows an upper bound on the L2-gain of PDEs to be estimated with little conservatism.
AB - In this paper, we present a new method for estimating the L2 -gain of systems governed by 2nd order linear Partial Differential Equations (PDEs) in two spatial variables, using semidefinite programming. It has previously been shown that, for any such PDE, an equivalent Partial Integral Equation (PIE) can be derived. These PIEs are expressed in terms of Partial Integral (PI) operators mapping states in L2[Ω], and are free of the boundary and continuity constraints appearing in PDEs. In this paper, we extend the 2D PIE representation to include input and output signals in ℝn, deriving a bijective map between solutions of the PDE and the PIE, along with the necessary formulae to convert between the two representations. Next, using the algebraic properties of PI operators, we prove that an upper bound on the L2-gain of PIEs can be verified by testing feasibility of a Linear PI Inequality (LPI), defined by a positivity constraint on a PI operator mapping ℝn × L2[Ω]. Finally, we use positive matrices to parameterize a cone of positive PI operators on ℝn × L2[Ω], allowing feasibility of the L2-gain LPI to be tested using semidefinite programming. We implement this test in the MATLAB toolbox PIETOOLS, and demonstrate that this approach allows an upper bound on the L2-gain of PDEs to be estimated with little conservatism.
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U2 - 10.1109/CDC51059.2022.9993045
DO - 10.1109/CDC51059.2022.9993045
M3 - Conference contribution
AN - SCOPUS:85146984745
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6097
EP - 6104
BT - 2022 IEEE 61st Conference on Decision and Control, CDC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 61st IEEE Conference on Decision and Control, CDC 2022
Y2 - 6 December 2022 through 9 December 2022
ER -