Adaptive estimation for uncertain nonlinear systems with measurement noise: A sliding-mode observer approach

Keyphrases

• Sliding Mode Observer 100%
• Adaptive Estimation 100%
• Uncertain Nonlinear Systems 100%
• Noise Measurement 100%
• Adaptive Observer 66%
• Parameter Identification Method 66%
• Time-varying Parameter Identification 66%
• Non-linear Time 66%
• Convergence Rate 33%
• Linear Matrix Inequality 33%
• State Estimation Error 33%
• Convergence Proof 33%
• External Disturbances 33%
• Simultaneous Estimation 33%
• Input-to-state Stability Theory 33%
• Varying Parameters 33%
• Ultimate Boundedness 33%
• State Disturbance 33%
• Time Rate 33%
• Lyapunov 33%
• Noise Disturbance 33%

Engineering

• Sliding Mode 100%
• Measurement Noise 100%
• Nonlinear System 100%
• Simulation Result 33%
• State Stability 33%
• Estimation Error 33%
• State Estimation 33%
• Rate of Convergence 33%
• Convergence Proof 33%
• External Disturbance 33%
• Simultaneous Estimation 33%
• Boundedness 33%

Computer Science

• sliding mode observer 100%
• Uncertain Nonlinear Systems 100%
• Measurement Noise 100%
• And-States 66%
• Identification Algorithm 66%
• State Estimation 33%
• linear matrix 33%
• Estimation Error 33%
• Measurement State 33%