This paper addresses the control problem of an electrohydraulic velocity servo-system (EHVSS). Two control schemes are proposed for the stabilization of the system. The first scheme is a dynamic sliding mode controller (SMC), and the second scheme is a linear quadratic regulator-like control law which is based on the state-dependent Riccati equation (SDRE) approach. When applying the SMC techni...

شاخص سطح برگ نقش مهمی در تبادل ماده و انرژی بین زمین اتمسفر دارد. مانند سایر گیاهان، نیشکر معیار خوبی برای وضعیت سلامت رشد این محصول است که به‌دلیل آن صنایع غذایی انرژی، اهمیت اقتصادی بسیاری ماهوارة PRISMA سال 2019 پرتاب شد، یکی از جدیدترین منابع داده‌های ابرطیفی را فراهم کرده به‌ویژه، تهیة نقشة متغیرهای گیاهی کاربرد پژوهش حاضر، نوع جدیدی شبکه‌های عصبی مصنوعی، موسوم به شبکة تنظیم‌شده با روش بیز...

Abstract: The topic of single or multiple objective, optimal control or design has been a very attractive and desirable feature for many dynamic and static systems such as aerospace, electrical, mechanical and robotics, nuclear and aerospace engineering. In particular, in dynamic optimization of nonlinear systems, recent research interest has been the nonlinear, optimal, feedback control using ...

Abstract The synthesis of suboptimal feedback laws for controlling nonlinear dynamics arising from semi-discretized PDEs is studied. An approach based on the State-dependent Riccati Equation (SDRE) presented 2 and ∞ control problems. Depending nonlinearity dimension resulting problem, offline, online, hybrid offline-online alternatives to SDRE are proposed. method reduces sequential solution Ly...

This chapter shares with Chapter 9 the adoption of a model predictive control (MPC) framework for flight control applications, but the details differ substantially. In particular, the control feedback in this case is a superposition of a neural-network-based nonlinear mapping and a nonlinear state-dependent Riccati equation (SDRE) controller. The neural network is optimized (trained) online for...