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Nowadays, manufacturing enterprises consumes a significant amount of energy; consequently, it has a significant potential to reduce resource consumption. However, key performance indicators of the traditional production do not completely take into account environmental impacts like energy consumption in production planning and scheduling. Against this background, an energy-aware scheduling model for...
In recent years, many so called “robotic toys” appeared at the market. Though these devices are called toys and they are primarily intended for games, they provide a set of sensors and actuators that can be controlled from a computer. Hence these robotic devices may serve as non-expensive research tools, in particular for developing advanced software for controlling them. This paper describes a controller...
We are dealing with the problem of maximizing the weighted number of pseudo just-in-time jobs on single machine model. The concept of pseudo just-in-time is a relaxation of just-in-time. In our formulation, each job is associated with a time-window instead of due date, and the lengths of all such time-windows are bounded above by a certain value given in advanced. A job is called pseudo just-in-time...
Unlike conventional traveling salesman problems (TSPs) for transportation, amusement park navigation using a smart phone needs both efficiency and preference for personal adaptation. In addition, a dynamic treatment for waiting time estimation and reservation ticket use should be incorporated into a minimum path finding algorithm. This study attempts to unify an optimization method and recommender...
In this paper, we present programs in Picat for solving three planning puzzles, including 15-puzzle, Klotski, and the Rubik's cube. All these programs use the planner module of Picat. For a planning problem, we only need to specify the conditions on the final states and the set of actions, and call the planner on an initial state to find a plan or a best plan. The planner module uses tabling. It tables...
Picat is a new and interesting programming language, combing many different programming paradigms: logic programming, imperative programming, functional programming, constraint programming, and tabling. This paper is a personal discussion of some of Picats features with several code examples.
Vector time series autoregressive moving average predictive and wavelet neural networks PID method is proposed in order to solve the requirement of optimal parameters real-time calculation in various control fields (engineering systems, economics systems, etc.), especially to solve the instability and poor control performance problem of control parameters online-tuning in engineering practice. Based...
This paper presents an improved structure for static synchronous compensator (STATCOM) system based on hybrid multilevel H-bridge converter. In the new structure, the chosen of dc capacitor capacitance is considered for every module, which will reduce the dc capacitor capacitance and reduce the cost of the system. A novel system control and dc capacitor voltage balance control strategy is presented...
Information fusion for nonlinear systems is one of the challenging topics in target tracking recently. Aiming at a kind of multi-sensor target tracking systems with correations between process and measurement noises, we study the design of a decentralized fusion algorithm based on the unscented strong tracking filter with correlated noises (USTF-CN). Firstly, the information form of USTF with correlated...
Through the research of formation control of multi-robot system, aimed at the fundamental problem that the formation control strategy of the traditional single navigator methods cannot break away from its dependence on the navigator, proposed an optimal control strategy, which is Multi-Priority Multi-Ponstraint (MPMC) of a new type of navigator method in the robot obstacle avoidance.
To improve the performance of the glutamic acid fermentation process, a multivariable adaptive inverse control method is proposed considering nonlinear and multivariable coupling of the fermentation process. According to the characteristics of the fermentation process, the kinetics model and the simplified model are given and the reversibility of the model is analyzed. An adaptive inverse control...
To improve Maneuver Target Tracking Algorithm, The multi-model intelligent input estimating method based on fuzzy logic is proposed. A fuzzy inference system is constructed with the input of the residual of observation and the residual variation. Then we could get the real-time estimate of the maneuver input of the model according to the output of the system. The algorithm is optimized by the parameter...
Extreme Learning Machine (ELM), recently developed by Huang et al., has been demonstrating an exciting learning algorithm for Single hidden Layer Feedback Neural Networks (SLFN). In this paper, the ELM has been introduced to approximate the unknown functions, which may not be parameterized and so make it impossible to develop an adaptive controller. Besides, the Nussbaum-type gain method is also incorporated...
This paper is concerned with the parameter and state estimation problem in the presence of the observer gain perturbations for a class of fractional order nonlinear systems which are linear in the unknown parameters and nonlinear in the states. According to the equivalent frequency distributed model of fractional integrator, the direct Lyapunov approach is adopted to derive a nonlinear adaptive non-fragile...
The paper provides the adaptive feedforward control strategy of engine based on GT-power and simulink coupling simulation. This control strategy makes exhaust engine emission to meet the Chinese state emission standard V and pass the European transient cycle (ETC) test during the transient conditions. The results in load and speed sudden changing prove that the coupling model is suitable for developing...
The paper investigates the second-order leader-following consensus problem of nonlinear multi-agent systems with time-varying delay. Based on graph theory and the neighbor-based coupling rule, the adaptive control strategy is proposed for the following agents to track the leader, the consensus condition is derived in terms of linear matrix inequalities, which can be easily solved by various convex...
We developed an automatic cover design supporting system for non-professional users to create their preferred cover designs in a user-oriented way by using Interactive Genetic Algorithm(IGA). Different from the template design pattern, our system allows an interaction between the algorithm and the Decision Maker(DM). It allows the users to take into account their preferences at each generation of...
Due to nonlinear and strong coupling of coke ovens, a distributed reinforcement learning control algorithm based on a radial basis function (RBF) for gas collector pressure control was proposed, in which the discrete space was dealt with by RBF and the critic-actor method was used to update the parameters of search network and evaluation network of the controller. Moreover, the control strategies...
For the requirement of multi-structure architecture, a controller based on robust H_∞ is proposed for LVLH angular momentum Management control method. The method is characterized by a combination of robust control and classical pole placement, and gives the system more robustness of parameter variation. Numerical simulation based on accurate dynamic model is proposed. Simulation result shows that...
Non-fragile robust control problem of a fan system is studied. It is pointed out that this problem of the fan system is really a non-fragile robust performance problem, the problem of the fan control system with both non-fragile robust stability and performance requirements(bandwidth and other performances). It is also suggested that the design of the non-fragile robust performance of the fan system...
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