Journal: Scientific Reports

Article Title: Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter

doi: 10.1038/s41598-025-90807-5

Figure Lengend Snippet: Comparative table emphasizing FS-MPC merits.

Article Snippet: , , Time-Domain Methods (e.g., Kalman Filtering) , Expensive, challenging for nonlinear systems , Simplifies computation while maintaining performance.

Techniques: Control

Journal: Sensors (Basel, Switzerland)

Article Title: Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode

doi: 10.3390/s18061724

Figure Lengend Snippet: Correntropy when λ = 1 .

Article Snippet: In addition, the maximum correntropy extended Kalman filter (MCEKF) and the maximum correntropy unscented Kalman filter (MCUKF) are proposed for the nonlinear system [ ], and the MCUKF has been proven to show a better performance than MCEKF [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode

doi: 10.3390/s18061724

Figure Lengend Snippet: RMSE of position, attitude, and time cost of different methods in the presence of Gaussian noise for SINS/CNS deeply integrated navigation.

Article Snippet: In addition, the maximum correntropy extended Kalman filter (MCEKF) and the maximum correntropy unscented Kalman filter (MCUKF) are proposed for the nonlinear system [ ], and the MCUKF has been proven to show a better performance than MCEKF [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode

doi: 10.3390/s18061724

Figure Lengend Snippet: RMSE of position, attitude, and time cost of different methods in the presence of large outliers for SINS/CNS deeply integrated navigation.

Article Snippet: In addition, the maximum correntropy extended Kalman filter (MCEKF) and the maximum correntropy unscented Kalman filter (MCUKF) are proposed for the nonlinear system [ ], and the MCUKF has been proven to show a better performance than MCEKF [ ].

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode

doi: 10.3390/s18061724

Figure Lengend Snippet: RMSE of position, attitude, and time cost of different message under the condition of the Gaussian mixture noises for SINS/CNS deeply integrated navigation.

Article Snippet: In addition, the maximum correntropy extended Kalman filter (MCEKF) and the maximum correntropy unscented Kalman filter (MCUKF) are proposed for the nonlinear system [ ], and the MCUKF has been proven to show a better performance than MCEKF [ ].

Techniques:

Journal: Entropy

Article Title: Intermittent Active Inference

doi: 10.3390/e28030269

Figure Lengend Snippet: Flow Chart for the Belief Divergence Trigger Mechanism. After the planning phase, the agent has chosen a plan π * to follow (yellow plan). After applying an action a , the agent forwards its belief by applying an unscented Kalman filter (UKF). The agent then receives an observation o and updates its belief about the system state Q s using variational inference (VI). In every time step, this updated belief is compared with the agent’s belief for this time step during planning Q ^ s (orange area). Only when the Jensen-Shannon divergence (JS Div.) surpasses the provided threshold ϵ Div , the current plan is abandoned and a new planning phase is triggered (step 5).

Article Snippet: To efficiently update the agent’s belief when performing an action, we apply an Unscented Kalman Filter (UKF) which propagates normal distributions through non-linear dynamics [ , ].

Techniques: