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adaptive model-based control

Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems

Lyapunov Based Dynamic Neural Network for Adaptive Control of Complex Systems

... Neural network modeling of a system from samples af- fected by noise usually requires three steps. The first step is the choice of neural network architecture, that is to say, the number of neurons in the input layer ...

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Model Reference Adaptive Control for Actuators of a Biped Robot Locomotion

Model Reference Adaptive Control for Actuators of a Biped Robot Locomotion

... walking control parameters ...walking control parameters from human walking movements using motion capturing ...walking control parameters either derived or captured, the reference model will ...

6

Liapunov’s Stability Theory-based Model Reference Adaptive control for DC Motor

Liapunov’s Stability Theory-based Model Reference Adaptive control for DC Motor

... intuitively true, as also argued in [11], that these fractional order models require the corresponding fractional order controllers to achieve excellent performance. In this paper, a fractional order PID controller is ...

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Adaptive PEH QoS Aware Management Control Scheme Based on Peltier and Piezoelectric Hybrid Model for WBAN Applications

Adaptive PEH QoS Aware Management Control Scheme Based on Peltier and Piezoelectric Hybrid Model for WBAN Applications

... considered various important parameters such as delay; throughput and packet loss performed by the Body Nodes (BNs). Moreover, these networks having face space constraints to adapt continuously to the human body. The BN ...

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Aerodynamic parameters identification and adaptive LADRC attitude control of quad-rotor model

Aerodynamic parameters identification and adaptive LADRC attitude control of quad-rotor model

... The acquisition frequency of the experimental data is 50 Hz. Analyzing the above results, it can be found that the amplitude and phase of the frequency response are good at the low-frequency stage less than 50 Hz, but ...

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Data-driven adaptive model-based predictive control with application in wastewater systems

Data-driven adaptive model-based predictive control with application in wastewater systems

... driven control design method has been around for few years, designing an adaptive subspace-based MBPC is still an open area of ...subspace- based adaptive MBPC does not include ...

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Adaptive friction compensation for hand grasping and compliant control

Adaptive friction compensation for hand grasping and compliant control

... the model based adaptive controller in order to achieve a good motion grasping control in the presence of friction and ...compliant control approach is proposed where a model ...

6

Dynamic Approach of MPPT for PV device by using Adaptive Control and fuzzy controller

Dynamic Approach of MPPT for PV device by using Adaptive Control and fuzzy controller

... The control algorithm of a process that is based on fuzzy logic or a fuzzy inference system is defined as fuzzy ...mathematical model for the plant, like any other conventional controllers as ...

9

Design of an Adaptive Fuzzy Controller for Antilock Brake Systems

Design of an Adaptive Fuzzy Controller for Antilock Brake Systems

... The control of Antilock Braking Systems (ABS) is a difficult problem, because of their nonlinearities and uncertainties appearing in their dynamics and ...new adaptive controller for the next generation of ...

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An Electrothermal Model Based Adaptive Control of Resistance Spot Welding Process

An Electrothermal Model Based Adaptive Control of Resistance Spot Welding Process

... dynamical model of a RSW process. Note that this simplified model neglects the heat required to raise the temperature of the electrodes and the nugget ...

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A Reliable Fault Tolerant Attitude Control System Based on an Adaptive Fault Detection and Diagnosis Algorithm together with a Backstepping Fault Recovery Controller

A Reliable Fault Tolerant Attitude Control System Based on an Adaptive Fault Detection and Diagnosis Algorithm together with a Backstepping Fault Recovery Controller

... algorithms, based on the obtained Takagi- Sugeno model, is ...an adaptive fault diagnosis observer is investigated to estimate the angular velocities and accurately reconstruct the fault terms ...

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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and

Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and

... linearized model of the power system can be used in studying power system oscillation stability and ...dynamic model of UPFC is required in order to study the effect of UPFC on enhancing the small signal ...

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Research of Multiple Sensors Adaptive Fault-Tolerant Control Based on T-S Fuzzy Model for EMB System

Research of Multiple Sensors Adaptive Fault-Tolerant Control Based on T-S Fuzzy Model for EMB System

... decision model containing sliding model control, the reference model output y ck , and the setting output y sp ...the adaptive generic model control algorithm based ...

5

Vehicle Stabilization via a Self-Tuning Optimal Controller

Vehicle Stabilization via a Self-Tuning Optimal Controller

... vehicle control and safety systems in vehicles is growing ...new control systems, called VDC, have been ...an adaptive optimal controller applied to a vehicle to obtain a satisfactory lateral and yaw ...

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Neural Network based Video Quality via Adaptive FEC in Wireless Environment

Neural Network based Video Quality via Adaptive FEC in Wireless Environment

... through adaptive FEC based on ANN. The model aims to present the idea of configure and recover the corrupted packets in the video flow with a suitable Forward Error Correction (FEC) code addressed by ...

5

Level Control of Conical Tank using Model Free Adaptive Control

Level Control of Conical Tank using Model Free Adaptive Control

... free adaptive control (MFAC) has been continuously developed for several systems with unknown or ill-defined model especially for a class of discrete-time ...mathematic model of the plant, a ...

7

Indirect Neural Adaptive Control for Wheeled Mobile Robot

Indirect Neural Adaptive Control for Wheeled Mobile Robot

... accurate control of the position along a reference trajectory is ...neural adaptive controller for a nonholonomic mobile robot based on its dynamical ...for control and identification of a ...

8

Implementation of Adaptive Embedded Controller for a Temperature Process

Implementation of Adaptive Embedded Controller for a Temperature Process

... an adaptive controller using Simulink requires a target ...real-time control by xPC Target using Simulink is developed as mentioned in [7] and ...DSP based embedded platform provides the facility of ...

11

Commun Nonlinear Sci Numer Simulat

Commun Nonlinear Sci Numer Simulat

... surface control (DSC) scheme is proposed by introducing a first-order filtering of the synthesized virtual control law at each step of the traditional backstepping approach ...the control of DC–DC ...

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Model Based Adaptive Control and Disturbance Compensation for Underwater Vehicles

Model Based Adaptive Control and Disturbance Compensation for Underwater Vehicles

... a model was designed based on an adaptive con- ...disturbance model was analyzed, which com- pensates the dynamics of a finite element tether and multi-body underwater vehicle ...

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