Intelligent Control and Learning Systems - Böcker

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Discrete-Time Adaptive Iterative Learning Control

From Model-Based to Data-Driven

Discrete-Time Adaptive Iterative Learning Control

From Model-Based to Data-Driven

Complex-Valued Neural Networks Systems with Time Delay

Stability Analysis and (Anti-)Synchronization Control

Complex-Valued Neural Networks Systems with Time Delay

Stability Analysis and (Anti-)Synchronization Control

Disagreement Behavior Analysis of Signed Networks

Disagreement Behavior Analysis of Signed Networks

Data-Driven Iterative Learning Control for Discrete-Time Systems

Data-Driven Iterative Learning Control for Discrete-Time Systems

Advanced Optimal Control and Applications Involving Critic Intelligence

Advanced Optimal Control and Applications Involving Critic Intelligence

Strict-Feedback Nonlinear Systems

Gain Control Design

Strict-Feedback Nonlinear Systems

Gain Control Design

Predictive Learning Control for Unknown Nonaffine Nonlinear Systems

Theory and Applications

Predictive Learning Control for Unknown Nonaffine Nonlinear Systems

Theory and Applications

Robust Adaptive Control of Nonlinear Interconnected Systems with Input Nonlinearities and Faults

Kernel Methods for Omics Data Mining

Theory and Applications

Data-Driven Spatiotemporal Modeling and Control of Nonlinear Distributed Parameter Systems and Their Applications

Constrained Cooperation: Event-Triggered and Intelligent Backstepping Control for Nonlinear Multiagent Systems

Balancing Performance, Communication, and Computation

Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints

Unveiling Cutting-Edge Research and Insights

Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints

Unveiling Cutting-Edge Research and Insights

Finite-Time Control of Networked Systems

Analysis and Design of Delayed Neural Networks

Fault Diagnosis and Fault-Tolerant Control of Nonlinear Systems with Higher System Input Powers

Variance-Constrained Filtering for Stochastic Complex Systems

Theories and Algorithms

Dynamic Neural Networks for Motion Control of Redundant Manipulators

Robust Iterative Learning Control of Industrial Batch Systems

Iterative Learning Control for Network Systems Under Constrained Information Communication

Iterative Learning Control for Network Systems Under Constrained Information Communication