Methods and systems are provided for monitoring and controlling irrigation and climate conditions in landscapes (such as, e.g., municipal parks, gardens, and sports fields) and agricultural environments (such as, e.g., open agricultural fields, greenhouses, and other sites growing crops).

Methods and systems for irrigation and climate control

A wireless system is provided for monitoring environmental, soil, or climate conditions and/or controlling irrigation or climate control systems at an agricultural or landscape site. In some embodiments, the wireless system includes at least one wireless nodes for monitoring environmental, soil, or climate conditions and/or for controlling one or more irrigation or climate control systems at the site. The wireless system also includes a server computer system located remotely from the site. The server computer system is coupled to the node/s over a communications network for receiving data from and controlling operation of the node/s. The server computer system is also coupled to a device operated by an end-user over a communications network for transmitting the data to and receiving remote control commands or queries from the end-user.

Methods and systems for irrigation control

New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder-Mead algorithm

A benchmark problem for robust feedback control of a flexible manipulator is presented. The system to be controlled is a four-mass system subject to input saturation, nonlinear gear elasticity, mod ...

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A Benchmark Problem for Robust Feedback Control of a Flexible ManipulatorA benchmark problem for robust feedback control of a flexible manipulator

This invention is related to remote wireless climate monitoring and control system which enables remote monitoring and control of the climate (temperature, humidity, light etc.) within greenhouses (1) with the use of devices (sensor nodes), placed inside the greenhouses (1), which has sensing, data processing and wireless communication capabilities. Sensor nodes transfer the measurements they take by self -forming a dynamic wireless sensor network to a remote central server via cellular network (5) (GPRS, Edge, UMTS etc.) or wireless broadband network (Wimax etc.). All measurements/data collected from member greenhouses are stored in a database (4) on the central server. End users reach to collected data over a web page on Internet (12) or through a cell phone application. In the mean time, using the same applications they can send commands to sensor nodes to remotely control climate control systems (heating, ventilation, misting etc.) manually and/or automatically.

Remote wireless climate monitoring and control system for greenhouses

Controller Tuning with Evolutionary Multiobjective Optimization

Control engineering is the engineering discipline that refers to the use of automatic control. This discipline has been intensively enlarging over the past decades due to technological advances and technology affordability. Nowadays, almost all engineering activities exploit automatic control. Therefore, this chapter aims to provide the core knowledge concerning some of the most important features in control design and its methods. It covers basic information to introduce the readers to the other chapters of this volume. Fundamental system properties and specifications for control design such as robustness and stability are explained. In addition to a broad overview of modern control techniques with explicative examples and reference publications, the chapter focuses on four intelligent control techniques, which are fuzzy logic control, neural networks, metaheuristics control tuning, and multi-agent systems. Perspective and new trends of research are also exposed for each presented control technique as well as for control systems in general.

Control Engineering from Classical to Intelligent Control Theory—An Overview

The method involves utilizing distributed units (1',1'') for distributing information captured by external sensors, where the information includes wind speed, outdoor temperature, outdoor humidity, sunlight, indoor temperature, indoor humidity, position of windows. A programmable controller (2) is connected to a bidirectional interconnection system (3). An independent claim is included for a device for controlling greenhouses.

Method for controlling greenhouse, involves utilizing distributed units for distributing information captured by external sensors, where information includes wind speed, outdoor temperature, outdoor humidity and position of windows

In this chapter a background on multiobjective optimization and a review on multiobjective optimization design procedures within the context of control systems and the controller tuning problem are provided. Focus is given on multiobjective problems where an analysis of the Pareto front is required, in order to select the most preferable design alternative for the control problem at hand.

Background on Multiobjective Optimization for Controller Tuning

Performance of optimization algorithms based on metaheuristics and/or based on derivative-free methods is highly dependent on its parameters. hen, in order to reach a quality solution as fast as possible, the algorithm has to be tuned adequately. A detailed statistical analysis of the system response quality found by Ant Colony Optimization (ACO) based algorithm with respect to discretization of the search space and the number of ants is presented for tuning 4 nonlinear controller structures. he resulting sensitivity curves permit to determine appropriate ACO parameter values to initiate the Nelder-Mead (NM) algorithm. A statistical study of NM convergence is also presented. Using the results of ACO and NM convergence studies has permited to reduce the average ACO-NM computation time by up to 7 times for an equivalent system response quality as compare to the previous

https://epubs.siam.org/doi/pdf/10.1137/1.9781611974072.35

Javier Sanchis Saez

Papers

Controller Tuning with Evolutionary Multiobjective Optimization

Control Engineering from Classical to Intelligent Control Theory—An Overview

Method for controlling greenhouse, involves utilizing distributed units for distributing information captured by external sensors, where information includes wind speed, outdoor temperature, outdoor humidity and position of windows

Background on Multiobjective Optimization for Controller Tuning

Convergence analysis of hybrid ACO/Nelder-Mead tuning method for PID controller structures with anti-windup.