A considerable amount of research has been done on the use of logarithmic quantizers for networked feedback controlsystems. However, most results are developed for the case of a single quantizer (either measurement o...
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ISBN:
(纸本)9781424431236
A considerable amount of research has been done on the use of logarithmic quantizers for networked feedback controlsystems. However, most results are developed for the case of a single quantizer (either measurement or control signal quantization). In this paper, we investigate the case of simultaneous input and output quantization for SISO linear output feedback systems. Firstly, we show that the problem of quadratic stabilization via quantized feedback can be addressed with no conservativeness by means of the sector bound approach. Secondly, we provide a bound on the maximal admissible sector bound via a scaled H ¿ optimization problem.
In this paper , we summarize several research directions involving message-passing algorithms and distributed fusion. The starting point is inference for graphical models , but the different constraints and objectives...
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ISBN:
(纸本)9781605600864
In this paper , we summarize several research directions involving message-passing algorithms and distributed fusion. The starting point is inference for graphical models , but the different constraints and objectives found in sensor networks suggest new questions. In addition to providing pointers to a variety of other parts of our research in this area , we spend most of our time on two research investigations. The irst involves team-theoretic approaches to distributed decision-making and the development of message-passing algorithms for sensor network organization in order to optimize distributed team objectives. The second deals with the exploitation of so-called walk-sum analysis for distributed linear estimation. In particular under an easily checked condition for walk-summability , we can show that essentially any messaging strategy converges to the optimal distributed solution;moreover with modest use of local memory , this remains true in the presence of random message losses. We also describe how this framework leads to a tractable max-spanning tree problem for optimal adaptive message routing-i.e. , for determining a spanning tree for the next wave of messages to reduce an upper bound on estimation error as quickly as possible.
The control of running is discussed in terms of a model called the Asymmetric Spring Loaded Inverted Pendulum (ASLIP), shown in Fig. 1. The ASLIP consists of a Spring Loaded Inverted Pendulum (SLIP) with the addition ...
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A simplified model is used to study the dynamics of a nanoparticle suspended in a fluid under Dielectrophoretic (DEP) force. The model considers the DEP force (considering only dipoles formed and not higher order pola...
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In this paper, the state estimation problem with constrained error variance for linear discrete-time systems is investigated. To this end, in a first stage, the vector variance equation describing the evolution of the...
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In networked controlsystems, because of limits on communication rates, control waveforms are frequently piece-wise constant with limits on rates at which they can switch levels. It is, therefore, natural to expect ev...
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We develop a novel approach to approximate a specified collection of marginal distributions on subsets of variables by a globally consistent distribution on the entire collection of variables. In general, the specifie...
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We develop a novel approach to approximate a specified collection of marginal distributions on subsets of variables by a globally consistent distribution on the entire collection of variables. In general, the specified marginal distributions may be inconsistent on overlapping subsets of variables. Our method is based on maximizing entropy over an exponential family of graphical models, subject to divergence constraints on small subsets of variables that enforce closeness to the specified marginals. The resulting optimization problem is convex, and can be solved efficiently using a primal-dual interior-point algorithm. Moreover, this framework leads naturally to a solution that is a sparse graphical model.
We consider the problem of rate allocation in a Gaussian multiple-access channel, with the goal of maximizing a utility function over transmission rates. In contrast to the literature which focuses on linear utility f...
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We consider the problem of rate allocation in a Gaussian multiple-access channel, with the goal of maximizing a utility function over transmission rates. In contrast to the literature which focuses on linear utility functions, we study general concave utility functions. We present a gradient projection algorithm for this problem. Since the constraint set of the problem is described by exponentially many constraints, methods that use exact projections are computationally intractable. Therefore, we develop a new method that uses approximate projections. We use the polymatroid structure of the capacity region to show that the approximate projection can be implemented by a recursive algorithm in time polynomial in the number of users. We further propose another algorithm for implementing the approximate projections using rate-splitting and show improved bounds on its convergence time.
Two feedback controllers that induce stable running gaits on a three-degree-of-freedom asymmetric hopper, termed the asymmetric spring loaded inverted pendulum (ASLIP), see Fig. 1, are compared in terms of their stead...
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Two feedback controllers that induce stable running gaits on a three-degree-of-freedom asymmetric hopper, termed the asymmetric spring loaded inverted pendulum (ASLIP), see Fig. 1, are compared in terms of their steady-state and transient behaviors. In each case, feedback is used to create a lower-dimensional hybrid subsystem that determines the existence and stability properties of periodic motions of the full-dimensional closed-loop system. The first controller creates a one degree-of-freedom subsystem through imposing two suitably selected (virtual) holonomic constraints on the configuration variables of the ASLIP. The second controller asymptotically imposes a single (virtual) holonomic constraint to create a two-degree-of-freedom subsystem that is diffeomorphic to a standard spring loaded inverted pendulum (SLIP). The two controllers induce identical steady-state behaviors. Under transient conditions, however, the underlying compliant nature of the SLIP allows significantly larger disturbances to be accommodated, with less actuator effort, and without violation of the unilateral constraints between the leg end and the ground.
This paper deals with an analysis of applicability, capabilities, benefits and pitfalls of using a virtual potential field approach to autonomously planning trajectories in non-communicating autonomous underwater vehi...
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This paper deals with an analysis of applicability, capabilities, benefits and pitfalls of using a virtual potential field approach to autonomously planning trajectories in non-communicating autonomous underwater vehicles (AUV-s). Virtual potentials represent an approach to this problem with cross-layer design features. Examples of different layers of control that can be achieved with the same fundamental approach are: obstacle-avoidance, energy-optimal trajectories, forming up with other moving agents, controlled formation fragmentation into well-posed sub-formation etc. This paper shows, on the basis of extensive simulated experiments, that such a trajectory planner based on virtual potentials, guarantees good extendibility, scalability and performance in a hard-real-time hardware-in-the-loop system.
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