✦ LIBER ✦

Pontryagin's Principle for State-Constrained Boundary Control Problems of Semilinear Parabolic Equations

✍ Scribed by Casas, Eduardo

Book ID: 118207977
Publisher: Society for Industrial and Applied Mathematics
Year: 1997
Tongue: English
Weight: 466 KB
Volume: 35
Category: Article
ISSN: 0363-0129
DOI: 10.1137/s0363012995283637

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Pontryagin's Principle for State-Constra

Pontryagin's Principle for State-Constrained Control Problems Governed by Parabolic Equations with Unbounded Controls

✍ Raymond, J. P.; Zidani, H. 📂 Article 📅 1998 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 510 KB

Hamiltonian Pontryagin's Principles for

Hamiltonian Pontryagin's Principles for Control Problems Governed by Semilinear Parabolic Equations

✍ J. P. Raymond; H. Zidani 📂 Article 📅 1999 🏛 Springer 🌐 English ⚖ 371 KB

Maximum Principle for State-Constrained

Maximum Principle for State-Constrained Control of Some Semilinear Parabolic Differential Equations

✍ G. Wang; C. Liu 📂 Article 📅 2002 🏛 Springer 🌐 English ⚖ 244 KB

Pontryagin’s maximum principle for const

Pontryagin’s maximum principle for constrained impulsive control problems

✍ A.V. Arutyunov; D.Yu. Karamzin; F. Pereira 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 284 KB

Pontryagin's principle for the control o

Pontryagin's principle for the control of parabolic equations with gradient state constraints

✍ E. Casas; M. Mateos; J.-P. Raymond 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 195 KB

Pontryagin's maximum principle of optima

Pontryagin's maximum principle of optimal control governed by some non-well-posed semilinear parabolic differential equations

✍ Gengsheng Wang 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 171 KB

This paper concerns about necessary conditions for optimal control problems governed by some semilinear parabolic di erential equations, which may be non-well posed. The two-point boundary (time variable) state constraint involves. The control set may be non-convex.