Titlebook: Informatics in Control, Automation and Robotics; 14th International C Oleg Gusikhin,Kurosh Madani Conference proceedings 2020 Springer Natu

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Semi-supervised Data Mining Tool Design with Self-tuning Optimization Techniques article are semi-supervised artificial neural network- (ANN) and support vector machine- (SVM) based classifiers designed by the self-configuring genetic algorithm (SelfCGA) and the fuzzy controlled meta-heuristic approach Co-operation of Biology Related Algorithms (COBRA). Both data mining tools a

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A Discrete-time PID-like Consensus Control: Application to the Wind Farm Distributed Control Problemto solve two relevant consensus problems, namely the leaderless weighted consensus under disturbances and the leader-follower weighted consensus under time-varying reference state. Sufficient conditions for stability as well as a LMI approach to tune the controller gains are provided. The two consen

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Parallel Scheduling Subject to Release Dates and Delivery Times Under the Non-idling Constraintimes and the machines must work under the non-idling constraint. This means that each machine must process all the jobs affected to it continuously without any intermediate delays. The objective is to minimize the maximum completion time of all jobs (or makespan). This problem is strongly NP-hard [.

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Reliable Energy Management Optimization in Consideration of Battery Deterioration for Plug-In Intellnsuring a better battery life. It proposes first to model the total energy consumption of the vehicle and investigate the minimization of an expended energy function, formulated as the sum of electrical energy provided by on-board batteries and consumed fuel. More precisely, it is proposed in this c

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Impedance Control and Force Estimation of a Redundant Parallel Kinematic Manipulatordel based control that sets a stiffness, damping and apparent inertia in the task space of the robot. The control is based on the feedback linearisation of the dynamics. The impedance control is achieved through an optimization promoting the even distribution of torques over actuators. Next, a force

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Application of a Distributed Containment Algorithm: Trajectory Tracking for Mobile Robotsorithm considers an interaction network among the agents in the formation, which is associated with a weighted directed graph. The structure of the formation considers the cases when virtual or real leaders delimit it. Further, the leaders form a convex hull that bounds the formation, and the positi

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Modelling and Minimum Cost Control of Multiple Tank Pumping Systemsof tanks that supply the water to different districts in a city. The tanks can be filled from different wells through a hydraulic system that can be reconfigured by means of several valves. The aim of the automatic operation is to determine which valves and pumps must be active at each instant of ti

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Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggrega. In order to overcome the difficulty in developing detailed mechanistic models, extreme learning machine (ELM) based data driven models are developed. In building an ELM model, the hidden layer weights are randomly assigned and the output layer weights are obtained in a one step regression type of