Informatics in Control, Automation and Robotics

Table of Contents

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   Book Overview
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   Chapter 1 Scheduling of an On-Demand Fixture Manufacturing Cell for Mass Customization: Optimal Method Vs. Heuristic
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   Chapter 2 Finite-Horizon $$H_{\infty }$$ Control Problem with Singular Control Cost
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   Chapter 3 Energy-Based Functional Modelling for Control Architecture Design: An Application to Energy Management for a Hybrid Electric Vehicle
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   Chapter 4 Local Decay of Residuals in Dual Gradient Method with Soft State Constraints
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   Chapter 5 Semi-supervised Data Mining Tool Design with Self-tuning Optimization Techniques
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   Chapter 6 A Discrete-time PID-like Consensus Control: Application to the Wind Farm Distributed Control Problem
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   Chapter 7 Parallel Scheduling Subject to Release Dates and Delivery Times Under the Non-idling Constraint
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   Chapter 8 Reliable Energy Management Optimization in Consideration of Battery Deterioration for Plug-In Intelligent Hybrid Vehicle
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    Chapter 9 Impedance Control and Force Estimation of a Redundant Parallel Kinematic Manipulator
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    Chapter 10 Blood Gas Predictions for Patients Under Artificial Ventilation Using Fuzzy Logic Models
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    Chapter 11 Application of a Distributed Containment Algorithm: Trajectory Tracking for Mobile Robots
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    Chapter 12 Stochastic DP Based on Trained Database for Sub-optimal Energy Management of Hybrid Electric Vehicles
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    Chapter 13 Modelling and Minimum Cost Control of Multiple Tank Pumping Systems
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    Chapter 14 Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine
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    Chapter 15 Optimization Algorithm for an Exoskeleten Robotic Inverse Kinematic Application
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    Chapter 16 A State Dependent Approach to Resource Allocation Strategies
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    Chapter 17 Auto-tuning of PID Controllers for Robotic Manipulators Using PSO and MOPSO
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    Chapter 18 ATLASCAR: A Sample of the Quests and Concerns for Autonomous Cars
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    Chapter 19 Intelligent Labware Transportation Solution for the Hierarchical Life Science Automation
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    Chapter 20 Object Detection and 6D Pose Estimation for Precise Robotic Manipulation in Unstructured Environments
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    Chapter 21 Comprising of Elastostatic and Elastodynamic Modeling for Compliance Error Compensation in Bipedal Robot
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    Chapter 22 Autonomous Navigation with Open Software Platform for Field Robots
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    Chapter 23 A Multicopter Design Software Tool for Automated Generation of Simulation and Visualization Models
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    Chapter 24 Combining Voronoi Graph and Spline-Based Approaches for a Mobile Robot Path Planning
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    Chapter 25 Geometrically Finding Best Grasping Points on Single Novel 3D Point Cloud
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    Chapter 26 3D Lidar Data Segmentation Using a Sequential Hybrid Method
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    Chapter 27 ARTag, AprilTag and CALTag Fiducial Systems Comparison in a Presence of Partial Rotation: Manual and Automated Approaches
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    Chapter 28 A Simplified Method to Determine Gravity Vector Through Aerodynamic Coefficients and its Applications in Attitude Determination
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    Chapter 29 Vehicle Dynamics Virtual Sensing Using Unscented Kalman Filter: Simulations and Experiments in a Driver-in-the-Loop Setup
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    Chapter 30 Sensor Fusion Approach for an Autonomous Shunting Locomotive
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    Chapter 31 BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation
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    Chapter 32 Ice Accretion Detection and Anti-icing/Deicing Systems for Wind Turbine Blades
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    Chapter 33 A Machine Learning Approach for Delineating Similar Sound Symptoms of Respiratory Conditions on a Smartphone
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    Chapter 34 Practical Initialization of Recursive Mixture-Based Clustering for Non-negative Data
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    Chapter 35 On Complementarity Measure-driven Dynamical Systems
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    Chapter 36 Dynamic Stability of the Hybrid Ball-bouncing Task
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    Chapter 37 Inverse Mathematical Modelling of Hexadecane Disintegration Reaction with Cooperative Multi-objective Genetic Algorithms
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    Chapter 38 A Comprehensive Approach for Camera/LIDAR Frame Alignment
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    Chapter 39 Behavior-Based Obstacle Detection in Off-Road Environments Considering Data Quality