This paper presents three approaches dealing with the feedback control of nonlinear analytic systems. The first one treats the optimal control resolution for a control-affine nonlinear system using the State Dependant Riccati Equation (SDRE) method. It aims to solve a nonlinear optimal control problem through a Riccati equation that depends on the state. The second approach treats a procedure of constructing an analytic expression of a nonlinear state feedback solution of an optimal regulation problem with the help of Kronecker tensor notations. The third one deals with the global asymptotic stabilization of the nonlinear polynomial systems. The designed state feedback control law stabilizes quadratically the studied systems. Our main contr...
A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a general...
A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a general...
Designing a controller for nonlinear systems is difficult to be applied. Thus, it is usually based o...
AbstractThis paper presents three approaches dealing with the feedback control of nonlinear analytic...
This paper presents a case study of the design procedure of state-feedback controllers and estimator...
An optimized variant of the State Dependent Riccati Equations (SDREs) approach for nonlinear optimal...
AbstractThe State-Dependent Riccati Equation (SDRE) control strategy is one of the most efficient ap...
An optimized variant of the State Dependent Riccati Equations (SDREs) approach for nonlinear optimal...
State dependent Riccati equation (SDRE) plays an important role in nonlinear controller design. For ...
The synthesis of suboptimal feedback laws for controlling nonlinear dynamics arising from semi-discr...
This paper presents a novel state-dependent Riccati equation (SDRE) control approach with the purpos...
This paper considers the problem of optimal control of nonlinear single and multiple interconnected ...
This paper presents a novel $ {H_2} - {H_\infty } $ state-dependent Riccati equation (SDRE) control ...
Optimal control design and implementation for nonlinear systems is a topic of much interest. However...
In the area of nonlinear control systems, recently the easy-to-implement state-dependent Riccati equ...
A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a general...
A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a general...
Designing a controller for nonlinear systems is difficult to be applied. Thus, it is usually based o...
AbstractThis paper presents three approaches dealing with the feedback control of nonlinear analytic...
This paper presents a case study of the design procedure of state-feedback controllers and estimator...
An optimized variant of the State Dependent Riccati Equations (SDREs) approach for nonlinear optimal...
AbstractThe State-Dependent Riccati Equation (SDRE) control strategy is one of the most efficient ap...
An optimized variant of the State Dependent Riccati Equations (SDREs) approach for nonlinear optimal...
State dependent Riccati equation (SDRE) plays an important role in nonlinear controller design. For ...
The synthesis of suboptimal feedback laws for controlling nonlinear dynamics arising from semi-discr...
This paper presents a novel state-dependent Riccati equation (SDRE) control approach with the purpos...
This paper considers the problem of optimal control of nonlinear single and multiple interconnected ...
This paper presents a novel $ {H_2} - {H_\infty } $ state-dependent Riccati equation (SDRE) control ...
Optimal control design and implementation for nonlinear systems is a topic of much interest. However...
In the area of nonlinear control systems, recently the easy-to-implement state-dependent Riccati equ...
A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a general...
A novel H2−H∞ State-dependent Riccati equation control approach is presented for providing a general...
Designing a controller for nonlinear systems is difficult to be applied. Thus, it is usually based o...