This paper presents non-parametric methods to infer the state of an environment by distributively controlling robots equipped with sensors. Each robot represents its belief of the environment state with a weighted sam...
详细信息
ISBN:
(纸本)9781467320665
This paper presents non-parametric methods to infer the state of an environment by distributively controlling robots equipped with sensors. Each robot represents its belief of the environment state with a weighted sample set, which is used to draw likely observations to approximate the gradient of mutual information. The gradient leads to a novel distributed controller that continuously moves the robots to maximize the informativeness of the next joint observation, which is then used to update the weighted sample set via a sequential Bayesian filter. The incorporated non-parametric methods are able to robustly represent the environment state and robots' observations even when they are modeled as continuous-valued random variables having complicated multimodal distributions. In addition, a consensus-based algorithm allows for the distributed approximation of the joint measurement probabilities, where these approximations provably converge to the true probabilities even when the number of robots, the maximum in/out degree, and the network diameter are unknown. The approach is implemented for five quadrotor flying robots deployed over a large outdoor environment, and the results of two separate exploration tasks are discussed.
The supervisory controllers used in manufacturing processes to establish nominal sequences of production steps can theoretically be synthesized based on the supervisory control theory (SCT). The fact, that in practice...
详细信息
ISBN:
(纸本)9781467347372;9781467347358
The supervisory controllers used in manufacturing processes to establish nominal sequences of production steps can theoretically be synthesized based on the supervisory control theory (SCT). The fact, that in practice manual design procedures are preferred over the SCT, is (among other reasons) due to the fact that the models used in the SCT are of an abstract type rather than reflecting the signal flow within a discretely controlled process, and that sets of permissible behaviors are obtained rather than selected (optimal) behaviors within this set. This paper proposes a modeling and synthesis scheme for discrete control which aims at retaining the closed loop structure of the controlled process. An algebraic representation of the discrete event dynamics is chosen to enable the transfer of concepts from continuous control to the supervisory control task. In addition, the scheme considers that the plant to be controlled often comprises continuous quantities (from which events need to be extracted), and that larger manufacturing processes typically have a modular and hierarchical structure.
From observation of human data, a set of sinusoidal trajectories were developed to mimic the human motion of unscrewing a bottle cap with the thumb and index finger. These trajectories were then implemented on a dexte...
详细信息
ISBN:
(纸本)9781457712005
From observation of human data, a set of sinusoidal trajectories were developed to mimic the human motion of unscrewing a bottle cap with the thumb and index finger. These trajectories were then implemented on a dexterous robotic hand in the form of a robustly stable sliding mode control algorithm. With the developed synergies, a single myoelectric input was used to control multiple finger joints simultaneously. This controller was then compared to a one degree of freedom prosthetic hand also under sliding mode control. The two hands were used to complete an unscrewing task as quickly as possible. The synergy controller produced a statistically significant reduction in task completion time and also reduced the required workspace.
This paper treats the filtering and parameter identification for the stochastic diffusion systems with unknown boundary conditions. The physical situation of the unknown boundary conditions can be found in many indust...
详细信息
ISBN:
(纸本)9781467320665
This paper treats the filtering and parameter identification for the stochastic diffusion systems with unknown boundary conditions. The physical situation of the unknown boundary conditions can be found in many industrial problems, i.g., the salt concentration model of the river Rhine is a typical example. After formulating the diffusion systems by regarding the noisy observation data near the systems boundary region as the system's boundary inputs, we derive the Kalman filter and the related likelihood function. The consistency property of the maximum likelihood estimate for the systemsparameters is also investigated. Some numerical examples are demonstrated.
Results of the transfer function analysis for a class of distributed parameter systems described by hyperbolic partial differential equations are presented. Assuming two lumped boundary inputs and two outputs distribu...
详细信息
ISBN:
(纸本)9781467321242
Results of the transfer function analysis for a class of distributed parameter systems described by hyperbolic partial differential equations are presented. Assuming two lumped boundary inputs and two outputs distributed along the spatial variable, the expressions for the individual elements of the transfer function matrix are derived for the decoupled system, using both exponential and hyperbolic functions. A formula for converting the transfer function matrix to the form describing the original coupled system is also proposed. The considerations are illustrated with a practical example of an electrical transmission line.
We develop, for the first time, sampled-data H-infinity control for a class of parabolic systems. These systems are governed by semilinear transport reaction equations with additive disturbances and with distributed c...
详细信息
ISBN:
(纸本)9781467320665
We develop, for the first time, sampled-data H-infinity control for a class of parabolic systems. These systems are governed by semilinear transport reaction equations with additive disturbances and with distributed control on a finite interval. We suggest a sampled-data controller design, where the sampling intervals in time and in space are bounded. The network of N stationary sensing devices provide spatially averaged state measurements over the sampling spatial intervals. Our sampled-data static output feedback enters the equation through N shape functions (which are localized in the space) multiplied by the corresponding state measurements. Sufficient conditions for the internal exponential stability and for L-2-gain analysis of the closed-loop system are derived via direct Lyapunov method in terms of Linear Matrix Inequalities (LMIs). By solving these LMIs, upper bounds on the sampling intervals that preserve the internal stability and the resulting L-2-gain can be found. Numerical examples illustrate the efficiency of the method.
Polymer flooding for high-salinity reservoir is one of the most important technologies for enhanced oil recovery (EOR). In this paper, an optimal control problem (OCP) of a distributedparameter system (DPS) is establ...
详细信息
ISBN:
(纸本)9781467313988
Polymer flooding for high-salinity reservoir is one of the most important technologies for enhanced oil recovery (EOR). In this paper, an optimal control problem (OCP) of a distributedparameter system (DPS) is established, in which the functional of performance index is profit maximum and the governing equations are the fluid equations in porous media. The control variables are chosen as the polymer concentrations. The constraint conditions include boundary constraints and other inequality constraints. To cope with this OCP of DPS, the necessary conditions for optimality are obtained through application of Pontryagin's maximum principle. A gradient method is proposed for the computation of optimal injection strategies. The numerical results of an example for high-salinity reservoir illustrate the effectiveness of the proposed method.
This paper presents a distributed event-based control approach to cope with communication delays and packet losses affecting a networked dynamical system consisting of N linear time-invariant coupled systems. Two comm...
详细信息
ISBN:
(纸本)9781467320665
This paper presents a distributed event-based control approach to cope with communication delays and packet losses affecting a networked dynamical system consisting of N linear time-invariant coupled systems. Two communication protocols are proposed to deal with these communication effects. It is shown that both protocols preserve the system stability in the sense that the state of every subsystem converges to a small region around the origin if the delay and the number of packet losses are bounded. Analytical expressions for the delay bound and the maximum number of consecutive packet losses are derived. Simulations illustrate the results.
It will be a step-by-step tutorial that will discuss best practices. The book is structured in such a way that it can be read both from start to end or can be dipped into. If you are a developer who is looking to lear...
详细信息
ISBN:
(数字)9781849686075
ISBN:
(纸本)9781849686068
It will be a step-by-step tutorial that will discuss best practices. The book is structured in such a way that it can be read both from start to end or can be dipped into. If you are a developer who is looking to learn a fast and easy way to learn to develop your business intelligence apps with QlikView, then this book is for you. If you are a power-user in a QlikView environment, then you will find quicker ways of working with QlikView. You should know the basics of business intelligence before you pick up this book. This book covers QlikView Desktop Personal Edition. Deployments to QlikView Server/Publisher are out of scope for this book.
The main contribution of this paper is an energy shaping procedure for the stabilization of forced equilibria for linear, lossless, distributed port-Hamiltonian systems via Casimir generation. Once inputs and outputs ...
详细信息
ISBN:
(纸本)9781467320665
The main contribution of this paper is an energy shaping procedure for the stabilization of forced equilibria for linear, lossless, distributed port-Hamiltonian systems via Casimir generation. Once inputs and outputs have been properly chosen to have a well-posed boundary control system, conditions for the existence of Casimir functions in closed-loop are given, together with their relation with the controller structure. These invariants suggest how to select the controller Hamiltonian to introduce a minimum at the desired equilibrium. Such equilibrium can be made asymptotically stable via damping injection, if proper "pervasive" damping injection conditions are satisfied. The methodology is illustrated with the help of a Timoshenko beam with constant non-zero force applied at one side of the spatial domain, and full-actuation on the other one.
暂无评论