System identification—A survey

1971/03/01 by K.J. Åström, Karl Johan Åström, P. Eykhoff · 31 citations
Engineering · Computer Science · #Control Systems and Identification #Fault Detection and Control Systems #Statistical and Computational Modeling

paper · doi:10.1016/0005-1098(71)90059-8

Cited by

• Short-term load forecasting
• A General Framework for Structured Learning of Mechanical Systems
• Parameter Selection Methods in Inverse Problem Formulation
• All-pole modeling of degraded speech
• Symmetric Linear Dynamical Systems are Learnable from Few Observations
• A joint optimization approach to identifying sparse dynamics using least squares kernel collocation
• When is a System Discoverable from Data? Discovery Requires Chaos
• Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
• Active Learning for Linear Parameter-Varying System Identification
• Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
• Sample-efficient and Scalable Exploration in Continuous-Time RL
• A Sensitivity Matrix Based Methodology for Inverse Problem Formulation
• PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization
• Finite Sample Analyses for Continuous-time Linear Systems: System Identification and Online Control
• Online Identification of IT Systems through Active Causal Learning
• A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence
• A chemical energy approach of avascular tumor growth: multiscale modeling and qualitative results. [europepmc]
• Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison. [europepmc]
• Modelling 3D saccade generation by feedforward optimal control. [europepmc]
• Design and Implementation of a Wireless Medical Robot for Communication Within Hazardous Environments. [europepmc]
• Dual-Rate Extended Kalman Filter Based Path-Following Motion Control for an Unmanned Ground Vehicle: Realistic Simulation. [europepmc]
• Physics-Guided Real-Time Full-Field Vibration Response Estimation from Sparse Measurements Using Compressive Sensing. [europepmc]
• Autoregressive models in environmental forecasting time series: a theoretical and application review. [europepmc]
• Identifying Brain Network Structure for an fMRI Effective Connectivity Study Using the Least Absolute Shrinkage and Selection Operator (LASSO) Method. [europepmc]
• Investigation of Halogenated Metallic Phthalocyanine (InPcCl and F 16 CuPc)-Based Electrodes and Palm Substrate for Organic Solid-State Supercapacitor Fabrication. [europepmc]
• Model parameterization of robotic systems through the bio-inspired optimization. [europepmc]
• Fractional-order PID control for elevation and azimuth in a twin rotor system. [europepmc]
• Learning plasma dynamics and robust rampdown trajectories with predict-first experiments at TCV. [europepmc]
• Modeling and inference of mixed dynamics and detection of causal emergent features. [europepmc]
• Real-time parameter updating for nonlinear digital twins using inverse mapping models and transient-based features [europepmc]
• AI-based state extension and augmentation for nonlinear dynamical first principles models [europepmc]