F.W. Fairman

A new delay system approach to network-based control

Quantum machine learning

Machine learning for molecular and materials science

Quantum Algorithm for Linear Systems of Equations

A variational eigenvalue solver on a photonic quantum processor

A Survey of Fault Detection, Isolation, and Reconfiguration Methods

A Survey of Recent Results in Networked Control Systems

A review of unsupervised feature learning and deep learning for time-series modeling

On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors

A subspace approach to balanced truncation for model reduction of nonlinear control systems

Topic Modeling in Management Research: Rendering New Theory from Textual Data

Sensitivity Discriminating Observer Design for Instrument Failure Detection

A Multilinear Singular Value Decomposition

Network-Induced Constraints in Networked Control Systems—A Survey

OFDM Versus Filter Bank Multicarrier

Design of observers for linear systems with unknown inputs

Event-triggeredH_∞control for a class of nonlinear networked control systems using novel integral inequalities

A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

A survey on security control and attack detection for industrial cyber-physical systems

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy

Survey of Advanced Suspension Developments and Related Optimal Control Applications11This paper was not presented at any IFAC meeting. This paper was recommended for publication in revised form by Editor Karl Johan Åström.,22Simple, mostly LQ-based optimal control concepts gave useful insight about performance potentials, bandwidth requirements, and optimal structure of advanced vehicle suspensions. The present paper reviews these optimal control applications and related practical developments.

Disturbance-Observer-Based Control and Related Methods—An Overview

Decision-Theoretic Planning: Structural Assumptions and Computational Leverage

The “Brain-State-in-a-Box” neural model is a gradient descent algorithm

Observer Design for Electronic Suspension Applications*

An observer-based compensator for distributed delays

Survey of robust residual generation and evaluation methods in observer-based fault detection systems

Time-delay systems: an overview of some recent advances and open problems

Terminal Guidance System for Satellite Rendezvous

Analytical Nonlinear Controller State-Order-Reduction Applied to Satellite Formation Flying

Design of unknown input observers and robust fault detection filters

Time series forecasting of petroleum production using deep LSTM recurrent networks

Past, present and future of nonlinear system identification in structural dynamics

Bibliography on higher-order statistics

Quantum Computing in the NISQ era and beyond

A Square-Root Nyquist (M) Filter Design for Digital Communication Systems

General two-stage extended kalman filters

Nonlinear neural networks: Principles, mechanisms, and architectures

Stability and Stabilizability of Switched Linear Systems: A Survey of Recent Results

On the Stability of Switched Positive Linear Systems

Industrial Applications of the Kalman Filter: A Review

Deep learning for time series classification: a review

Proceedings of 35th IEEE Conference on Decision and Control

A Roadmap of Agent Research and Development

Event System Theory: An Event-Oriented Approach to the Organizational Sciences

A cumulant-based Hankel approach to direction-of-arrival estimation

Delayless observers for systems with delay

CONTROLLER REDUCTION FOR NONLINEAR PLANTS—ANL₂APPROACH

Disturbance decoupled observer design via singular value decomposition

Harmonic retrieval via state space and fourth-order cumulants

On reducing the order of Kalman filters for discrete-time stochastic systems having singular measurement noise

Factorable FIR Nyquist filters with least stopband energy under sidelobe level constraints

Introduction to dynamic systems: Theory, models and applications

Nonlinear H/sub ∞/ control: a J-dissipative approach

Sensitivity reducing observers for optimal feedback control