This paper proposes a novel adaptive sliding mode controller (ASMC) combined with a fuzzy PID algorithm which leads to global asymptotic stability. The sliding mode approach effectively solves the problem of uncertainties and unmolded dynamics of the system; however, the chattering phenomenon is the main drawback of this method. Proposed solutions in literature for overcoming the chattering problem cause ultimately globally bounded stability or suffer from complicated calculations. In this paper, an improved adaptive robust fuzzy PID controller is presented as the three-layer controller which can be considered for tracking and regulation tasks. The simulation results illustrate the effectiveness of the controller scheme. Applicability to th...
[[abstract]]An adaptive fuzzy sliding mode controller (AFSMC) is proposed. The parameters of the mem...
Sliding mode controller (SMC) has become a popular traditional control method in industries due to t...
[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...
It is well known that sliding-mode control can give good transient performance and system robustness...
Abstract:- In this paper, the principle of sliding mode control is used as a basis to develop an ada...
It is well known that sliding mode control can give good transient performance and system robustness...
This book addresses some of the challenges suffered by the well-known and robust sliding-mode contro...
Multi-motor drive systems are nonlinear, multi-input multi-output (MIMO) and strong-coupling complic...
International audienceIn this work an adaptive PID control law is used to approximate a model-based ...
AbstractIn order to improve the performance of single-input single-output (SISO) nonlinear systems w...
The trajectory tracking of underactuated nonlinear system with two degrees of freedom is tackled by ...
ii In this thesis, an adaptive fuzzy integral sliding mode controller for uncertain systems with sta...
Abstract:- in this paper, we present a fuzzy logic controller to combine sliding mode controller and...
[[abstract]]By the application of fuzzy set theory, a method for feedback control of nonlinear syste...
This paper considers the sliding-mode control problem for discrete-time uncertain systems. It begins...
[[abstract]]An adaptive fuzzy sliding mode controller (AFSMC) is proposed. The parameters of the mem...
Sliding mode controller (SMC) has become a popular traditional control method in industries due to t...
[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...
It is well known that sliding-mode control can give good transient performance and system robustness...
Abstract:- In this paper, the principle of sliding mode control is used as a basis to develop an ada...
It is well known that sliding mode control can give good transient performance and system robustness...
This book addresses some of the challenges suffered by the well-known and robust sliding-mode contro...
Multi-motor drive systems are nonlinear, multi-input multi-output (MIMO) and strong-coupling complic...
International audienceIn this work an adaptive PID control law is used to approximate a model-based ...
AbstractIn order to improve the performance of single-input single-output (SISO) nonlinear systems w...
The trajectory tracking of underactuated nonlinear system with two degrees of freedom is tackled by ...
ii In this thesis, an adaptive fuzzy integral sliding mode controller for uncertain systems with sta...
Abstract:- in this paper, we present a fuzzy logic controller to combine sliding mode controller and...
[[abstract]]By the application of fuzzy set theory, a method for feedback control of nonlinear syste...
This paper considers the sliding-mode control problem for discrete-time uncertain systems. It begins...
[[abstract]]An adaptive fuzzy sliding mode controller (AFSMC) is proposed. The parameters of the mem...
Sliding mode controller (SMC) has become a popular traditional control method in industries due to t...
[[abstract]]In this paper, a nonlinear dynamic system is first approximated by N fuzzy-based linear ...