Closed-form boundary State feedbacks for a class of 1-D partial integro-differential equations

• Published in: IEEE transactions on automatic control Vol. 49; no. 12; pp. 2185 - 2202
• Main Authors: Smyshlyaev, A., Krstic, M.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.12.2004; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Backstepping; Boundaries; boundary control; Computer science; control theory; systems; Control system synthesis; Control systems; Control theory. Systems; Controllers; Distributed control; distributed parameter systems; Eigenvalues and eigenfunctions; Exact sciences and technology; Exact solutions; Integral equations; Integrodifferential equations; Kernel; Kernels; Lyapunov function; Mathematical analysis; Mathematical models; Miscellaneous; Operators; Optimal control; Optimization; partial differential equations (PDEs); Riccati equations; stabilization; State feedback; Studies; Performance evaluation; State feedback; Integral operator; Operator equation; Stabilization; Feedback regulation; Control synthesis; Partial differential equation; Exact solution; Closed feedback; Kernels; Successive approximation; Parabolic equation; Optimal control; Boundary control; Integral equation; Riccati equation; Distributed parameter system; Lyapunov function
• ISSN: 0018-9286; 1558-2523
• DOI: 10.1109/TAC.2004.838495

In this paper, a problem of boundary stabilization of a class of linear parabolic partial integro-differential equations (P(I)DEs) in one dimension is considered using the method of backstepping, avoiding spatial discretization required in previous efforts. The problem is formulated as a design of an integral operator whose kernel is required to satisfy a hyperbolic P(I)DE. The kernel P(I)DE is then converted into an equivalent integral equation and by applying the method of successive approximations, the equation's well posedness and the kernel's smoothness are established. It is shown how to extend this approach to design optimally stabilizing controllers. An adaptation mechanism is developed to reduce the conservativeness of the inverse optimal controller, and the performance bounds are derived. For a broad range of physically motivated special cases feedback laws are constructed explicitly and the closed-loop solutions are found in closed form. A numerical scheme for the kernel P(I)DE is proposed; its numerical effort compares favorably with that associated with operator Riccati equations.