Control: From Research to Industry from Theory to Application. - 1: Adaptive Control. - its expectations open questions and perspectives. - Fundamental Problems in Adaptive Control. - A Bound for the Disturbance-to-Tracking-Error Gain of a Supervised Set-Point Control System. - A Discrete-Time Algorithm for Identification and Adaptive Control. - 2: Passivity. - a wide concept. - Backstepping and Passivation in the Presence of an Integrator with Throughput. - Robust H? Control of Time-Delay Systems: A Generalized Popov Theory Approach. - Passivity-Based Control of the Inverted Pendulum. - Feedback Linearization Integrator Backstepping and Passivity-Based Controller Designs: A Comparison Example. - 3: Control Design Methodologies. - robustness issues. - A Paradox in Pole Placement Design. - Stabilization by Output Feedback Revisited. - Regulating Non-Minimum Phase Outputs: A Flatness-Based Approach. - 4: State. - a fundamental concept. - State and Storage. - Concepts of State in Introductory Control Education. - Discrete-Time State Representations; a New Paradigm. - 5: Identification Supervision Diagnosis. - towards the future. - Bias Variance and Optimal Experiment Design: Some Comments on Closed Loop Identification. - Diagnostics and Monitoring as Tightly Coupled to Identification. - 6: Advanced Applied Areas. - theory versus applications. - Applications of Digital Control and Adaptive Control Theories to Mechatronic Systems. - Advanced Estimation and Optimization for Air Traffic Surveillance. - Why Wide Webs Wrinkle. - Classical/Advanced Control for Hydraulic Power Plants. - Conclusion. - Competition Interaction and Control. - Publications. Language: English