sisotool  (MathWorks Inc)

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: Gain of PI controllers.

Article Snippet: Once the transfer function of the system is obtained and placed in the MATLAB code, the controller is tuned using the Sisotool command in the MATLAB Sisotool Toolbox.

Techniques: Control

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: System response without considering Gaussian noise.

Article Snippet: Once the transfer function of the system is obtained and placed in the MATLAB code, the controller is tuned using the Sisotool command in the MATLAB Sisotool Toolbox.

Techniques: Control

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: System response considering Gaussian noise.

Article Snippet: Once the transfer function of the system is obtained and placed in the MATLAB code, the controller is tuned using the Sisotool command in the MATLAB Sisotool Toolbox.

Techniques: Control

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: Costs determined by LQG criteria.

Article Snippet: Once the transfer function of the system is obtained and placed in the MATLAB code, the controller is tuned using the Sisotool command in the MATLAB Sisotool Toolbox.

Techniques:

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: Gain of PI controllers.

Article Snippet: Once the transfer function of the system is obtained and located in the MATLAB code, the controller is adjusted using the command Sisotool (G), where G represents the transfer function of the system (Equation ( )).

Techniques: Control

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: System response without considering Gaussian noise.

Article Snippet: Once the transfer function of the system is obtained and located in the MATLAB code, the controller is adjusted using the command Sisotool (G), where G represents the transfer function of the system (Equation ( )).

Techniques: Control

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: System response considering Gaussian noise.

Article Snippet: Once the transfer function of the system is obtained and located in the MATLAB code, the controller is adjusted using the command Sisotool (G), where G represents the transfer function of the system (Equation ( )).

Techniques: Control

Journal: Biomimetics

Article Title: Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor

doi: 10.3390/biomimetics8050434

Figure Lengend Snippet: Costs determined by LQG criteria.

Article Snippet: Once the transfer function of the system is obtained and located in the MATLAB code, the controller is adjusted using the command Sisotool (G), where G represents the transfer function of the system (Equation ( )).

Techniques: