Riemann Ruiz-Cruz

• PhD
• Professor (Full) at Instituto Tecnológico y de Estudios Superiores de Occidente

Global corporations frequently grapple with a dilemma between fulfilling business needs and adhering to travel policies to mitigate excessive fare expenditures. This research examines the multifaceted nature of business travel, delving into its key characteristics and the inherent complexities faced by management in formulating effective policies....

This study introduced a novel path-following controller tailored to electric vehicles equipped with a steer-by-wire system, i.e., the steering angle of the vehicle was defined by an electrical actuator. The control objective was to force the proper steering angle of the vehicle, which permits following a desired path. The system presupposed that an...

It is well known that induction motors consume active and reactive energy from the utility grid to operate; additionally, when a power converter drives the motor, a high content of current harmonics is produced, and both circumstances decrease the utility grid power factor, which later requires to be improved. To this end, this paper presents a nov...

In this work, we demonstrate the importance of implementing techniques that allow us to include demand side management as a tool for the planning of energy systems, in this particular case, standalone power systems. Penetration indexes are also proposed and calculated to establish the minimum requirements for the energy supply of a predominantly re...

There is a constant conflict in global corporations between satisfying the business needs and complying with the travel policy to avoid paying over-priced fares. This article reviews the nature of business travel, discusses its main characteristics, and the complexity for management in defining the policy. A travel policy must be feasible to comply...

Electronic Manufacturing Services (EMS.) companies are in a highly competitive environment where investment in technology plays a significant role in the company's performance. The equipment efficiency is directly converted to revenue. The equipment efficiency decays over time; keeping the equipment represents a loss in productivity, and renewing t...

Within Industry 4.0, drones appear as intelligent devices that have brought a new range of innovative applications to the industrial sector. The required knowledge and skills to manage and appropriate these technological devices are not being developed in most universities. This paper presents an unmanned aerial vehicle (UAV)-based smart educationa...

In this report we analyze and define a simple control scheme to control a BLDC motor using the space-vector PWM technique, and taking the model of the BLDC defined in previous reports that use the dq rotating reference frame and the Park-Clarke transformations. In the references, the link to the Matlab-Simulink models repository used here, is found...

This paper presents an approach to support vector regression that extends the classic Vapnik's formulation. After recalling that the classic formulation contains a Lasso regularization structure in its dual form, we propose a generalized Lagrangian function with additional terms to include the Ridge regularization in the dual problem. In this form,...

Inspired in the extraordinary ability of metallic resonant nano-cavities to transmit light towards a substrate beneath them, the authors introduce a quite simple design of nano- cavities displaying enhanced anti-reflective properties in the UV-vis band. With the aid of an evolutionary algorithm, which is based on social rules, the authors drive the...

The wind power systems of variable velocity using a doubly-fed induction generator dominate large-scale electrical generation within renewable energy sources. The usual control goal of the wind systems consists of maximizing the wind energy capture and streamlining the energy conversion process. In addition, these systems are an intermittent energy...

This models the lateral dynamics of a vehicle and implements a controller that takes the errors from the road such as the distance to the road, the orientation error respect the road etc. The road for reference is taken from a list of points along the road, called waypoints. The link to github where the code is located can be found inside the file....

Hipótesis: Existe un conjunto de condiciones bajo las cuales la ocurrencia de evento exógeno a una serie de tiempo provoca la presencia de patrones temporales observables en la misma serie. Experimento: El comunicado de un indicador económico de México o USA es, un evento generador de patrones temporales en la serie de tiempo del tipo de cambio USD...

In this paper, we introduce a hexagonal array of vertical gold nanowires with enhanced antireflective properties in the UV–Vis and near-IR wavelengths. The array reduces the reflectance of the underlying silicon wafer, based on the plasmonic resonances that metals exhibit at the nanoscale. The design is optimized with the particle swarm optimizatio...

In this report, we review the trends in the electric motor usage for electric vehicles trying to get an insight about advantages and disadvantages with the different kind of electric machines that currently are being used in commercial electric vehicles and/or hybrid vehicles applied to power train applications. Dynamic models of for DC and brushle...

In this report, we analyze the longitudinal dynamics of a combustion motor vehicle. The models reviewed here are known as the driveline of the car, and additionally the model of a combustion motor is analyzed and simulated. The intention of this, is to comprehend the components of the power train aiming to develop controllers and eventually, develo...

In this letter, the authors develop an optimized Seebeck nanoantenna design suitable for IR harvesting applications. The design is optimized via the so-called particle-swarm-optimization algorithm (PSO), an evolutionary algorithm able to drive the morphology of a nano-object towards an optimum. Along with the so-called nanoloading technique, effort...

In this report, we explored the lateral vehicle dynamics models that are used in several safety applications such as lane-keeping systems, review state of the art controller algorithms for lateral dynamic, design several kinds of controllers to assess the performance of them in automotive applications, and get insight about the control design proce...

In a renewable energy generation system, the batteries are one of the main components for energy storage. To maximise the useful life of batteries, it is important to ensure a safe and effective rate in the process of battery charging and discharging. To control these processes, different electronic circuits can be used, of which, the most commonly...

This is an overview of the algorithms that are currently considered the state of the art for control in autonomous driving and advanced driver assistance systems. From the safety perspective, we started looking to one of these algorithms looking to identify downsides, and proposals required to take this theoretical algorithm to the implementation i...

A brief review of the ISO 26262 against intelligent automotive features.

The multi-resonant response of three-steps tapered dipole nano-antennas, coupled to a resistive and fast micro-bolometer, is investigated for the efficient sensing in the infrared band. The proposed devices are designed to operate at 10.6 μm, regime where the complex refractive index of metals becomes important, in contrast to the visible counterpa...

This paper presents a discrete-time inverse optimal control scheme using a neural network for a doubly fed induction generator (DFIG). The DFIG generation scheme has a voltage-source converter connected between the rotor and the electrical grid, which is composed by a two insulate-gate bipolar transistors (IGBT) power converters connected in back-t...

In the present paper, a mathematical model for a portfolio is proposed. This model is valid for operations of buying and selling shares of an asset in constant periods of time, additionally, it has a state space form which can be used to design a control law using control theory. The designed control law can be interpreted as a trading signal to re...

One of the most important bases for designing robust closed-loop controllers applied to induction motor with high performance is establishing its mathematical model and state observers, as well as the parameter identification with high accuracy. In this paper, a step-by-step mathematical model of the squirrel-cage induction motor is described at αβ...

On this paper, a robust velocity controller applied to a three-phase squirrel-cage induction motor under variable load conditions is designed. The induction motor drives an induction generator representing the load which freely delivers the generated power to the utility grid. The closed-loop scheme is designed at αβ coordinate frame and is based o...

With the rise in the use of renewable energies, solar panels have proven to be reliable and have a favorable cost-benefit ratio, producing energy free of noise and air pollution. Solar panels are subject to considerable variations in working conditions due to changes in solar irradiation levels and temperature that affect its semiconductor properti...

This paper is concerned with the power dispatch in a microgrid. The dispatch problem is formulated as linear program. Thus, the proposed solution is the application of neural network that solves linear programming on-line. This proposal in motivated by the increasing electric energy demand and the rising need to incorporate sustainable energy sourc...

With the rise in the use of renewable energies, solar panels have proven to be reliable and have a favorable cost-benefit ratio, producing energy free of noise and air pollution. Solar panels are subject to considerable variations in working conditions due to changes in solar irradiation levels and temperature, that affect its semiconductor propert...

This paper is focused on a decentralized non-linear control scheme applied on a photovoltaic system connected to the utility grid. This system is a cascade scheme. On the first stage, a controller is designed to regulate the voltage at the solar panel terminals (input voltage for a boost converter) such that the maximum power transfer is achieved....

Doubly Fed Induction Generators: Control for Wind Energy provides a detailed source of information on the modeling and design of controllers for the doubly fed induction generator (DFIG) used in wind energy applications. Focusing on the use of nonlinear control techniques, this book: Discusses the main features and advantages of the DFIG Describes...

Using recurrent high order neural networks for identification, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed for achieving synchronization. The robust behavior of the control system is investigated via simulations.

This paper presents the power supply on-line optimization in a Microgrid prototype. The power supply is formulated as a linear programming problem. With this formulation, a new recurrent neural network which solves linear programming is proposed and applied to the supply problem. The main features of the proposed system are the fixed convergence ti...

The aim of this paper is to present a new dynamical system which solves linear programming. Its design is considered as a sliding mode control problem, where its structure is based on the Karush-Kuhn-Tucker optimality conditions, and its multipliers are the control inputs to be implemented by using fixed time stabilizing terms with vectorial struct...

The aim of this paper is to present a simple new class of recurrent neural networks, which solves linear programming. It is considered as a sliding mode control problem, where the network structure is based on the Karush-Kuhn-Tucker (KKT) optimality conditions, and the KKT multipliers are the control inputs to be implemented with finite time stabil...

In this paper, a discrete-time neural control scheme to regulate carbon monoxide (CO) and nitrogen oxides (NOx) emissions for a fluidized bed sludge incinerator is proposed. Carbon monoxide emissions are reduce by oxygen regulation in the incinerator; nevertheless nitrogen oxides emissions are difficult to control because the sludge composition var...

In this work, a neural control scheme to regulate carbon monoxide (CO) and nitrogen oxides (NOx) emissions for a solid waste incinerator is proposed. Carbon monoxide emissions are avoided by oxygen regulation in the incinerator; nevertheless nitrogen oxides emissions are difficult to control because the sludge composition varies continuously. The a...

The aim of this paper is to present a new class of recurrent neural networks, which solve linear programming. It is considered as a sliding mode control problem, where the network structure is based on the Karush-Kuhn-Tucker (KKT) optimality conditions, and the KKT multipliers are the control inputs to be implemented with fixed time stabilizing ter...

This paper pressents an infinite-horizon optimal controller, based on a state-dependent Riccati equation approach to solve the tracking for nonlinear systems. The synthesized control law comes from solving the Hamilton-Jacobi-Bellman equation for state-dependent coefficient factorized nonlinear systems. The proposed controller results in a state fe...

Around the world, conventional power systems are facing gradual depletion of fossil fuel resources, poor energy efficiency and environmental pollution. These problems have led to a new trend of generating power locally at distribution voltage level by using renewable/nonconventional energy sources like natural gas, biogas, wind power, solar photovo...

The authors propose robust non-linear controllers for a wind system. The proposed controllers are based on a combination of the block control linearisation and super-twisting algorithm, as a second-order sliding mode technique. The main control loop is designed to regulate the electromagnetic torque and stator power factor of a doubly-fed induction...

This paper proposes a control scheme on the basis of the block control technique using sliding modes by means of neural networks identification, for a doubly fed induction generator (DFIG) prototype connected to an infinity bus. The DFIG is widely used as a wind generator; it allows the rotor speed to vary while synchronizing the stator directly to...

In this paper, the authors propose a particle swarm optimization (PSO) for a discrete-time inverse optimal control scheme of a doubly fed induction generator (DFIG). For the inverse optimal scheme, a control Lyapunov function (CLF) is proposed to obtain an inverse optimal control law in order to achieve trajectory tracking. A posteriori, it is esta...

In this paper, the authors propose three robust non-linear controllers based on a second order sliding mode technique named super-twisting method which can be applied into work bench for research related to wind system. The main control scheme is proposed to control the electromagnetic torque and stator power factor of a wound rotor induction gener...

In this paper, the authors present a discrete-time adaptive neural backstepping control for a doubly fed induction generator (DFIG), based on a discrete-time high order neural network (HONN), which is trained with a new particle swarm optimization extended Kalman filter (PSOEKF) algorithm. The discrete-time adaptive neural backstepping control perf...

This paper proposes a control scheme based on the block control technique using sliding modes, for a doubly fed induction generator (DFIG) prototype connected to an infinity bus. The DFIG is widely used as a wind generator; it allows the rotor speed to vary while synchronizing the stator directly to a fixed frequency power system. The generation sc...

In this paper, we propose a robust non-linear controller based on a second order sliding mode technique named super-twisting method. The control scheme is proposed to control the DC bus voltage into the back to back inverter configuration, and power factor of the feedback generated energy by the circuit rotor of a wound rotor induction in a wind sy...

This paper proposes a control scheme based on the block control technique using sliding modes, for a doubly fed induction generator connected to an infinity bus. This control scheme is compared with a linear control using PIs. Simulation results in PSCAD/EMTDC are included to illustrate the applicability of the scheme. A comparison between the PI c...

This paper proposes a control scheme based on the discrete-time block control technique using sliding modes, for a doubly fed induction generator connected to an infinity bus. In order to obtain the generator mathematical model, it is proposed to use a recurrent high order neural network (RHONN) identifier, which is trained with an extended Kalman...

In this paper, the authors propose an algorithm to react to fault in the grid, this is based in block control scheme using sliding modes, for a double fed induction generator. In normal operation the electric torque and reactive power be controlled; when a fault occurs the electric torque and the stator current is controlled. The applicability of t...

This paper presents a discrete-time adaptive neural backstepping control for a double fed induction generator connected to an infinity bus, based on a discrete-time high order neural network (HONN), which is trained with an extended Kalman filter (EFK) algorithm. The discrete-time adaptive neural backstepping control performance is illustrated via...

In this paper, the authors propose a block control scheme using sliding modes, for a double fed induction generator connected to an infinity bus. To estimate the mechanical torque, a nonlinear observer is utilized; additionally, as a viable alternative, to eliminate the requirement on this estimation, an integrator is included. To reduce the effect...

This paper presents neuronal network identification of a double fed induction generator, based on a discrete-time high order neuronal network (RHONN), which is trained with an extended Kalman filter (EFK) algorithm. The neuronal identification performance is illustrated via simulations.