Vehicle platooning has become important for the vehicle industry. Yet conclusive results with respect to fuel reduction possibilities of remain unclear. The focus in this study is that heavy duty enables and analysis influence a commercial adaptive cruise control on consumption. Experimental show by using preview information road ahead from lead vehicle, controller can reduce A undertaken various masses vehicle. best choice heavier or lighter depends desired time gap. maximum 4.7-7.7%...

We consider the problem of stochastic finite- and infinite-horizon linear quadratic control under power constraints. The calculations optimal law can be done off-line as in classical Gaussian theory using dynamic programming, which turns out to a special case new developed this technical note. A numerical example is solved methods.

We consider suboptimal decentralized controller design for subsystems with interconnected dynamics and cost functions. A systematic methodology is presented over the class of linear quadratic regulators (LQR) chain graphs. The evaluated on heavy duty vehicle platooning physical constraints. simulation frequency analysis performed. results show that gives good tracking performance a robust system. also produces string stable system an arbitrary number vehicles in platoon, if configurations...

In this paper, we consider communication over the bandwidth limited analog white Gaussian noise channel using non-orthogonal pulses. particular, transmission by signaling samples at a rate higher than Nyquist rate. Using faster-than- (FTN) framework, Mazo showed that one may transmit symbols carried sinc pulses dictated without loosing bit error However, as will show in such are not necessarily well localized time. fact, assuming signals FTN framework time, can construct scheme violates...

In 1968, Witsenhausen introduced his famous counterexample where he showed that even in the simple linear quadratic static team decision problem, complex nonlinear decisions could outperform any given decision.This problem has served as a benchmark for decades researchers try to achieve optimal solution.This paper introduces systematic iterative source-channel coding approach solve problems of Counterexample-character.The advantage presented is its simplicity.Also, no assumptions are made...

In this paper, we revisit the problem of finding average capacity Gaussian feedback channel. First, consider analog noise channel, where has an arbitrary spectral density. We introduce a new approach to problem, solve over finite number transmissions and then limit infinite transmissions. Furthermore, important special case stationary with memory. show that channel at stationarity can be found by solving semi-definite program, hence computationally tractable. also give proofs results...

Analysis of interconnected dynamical systems is considered. A framework for the analysis stability interconnection given. The results Fax and Murray that studies SISO-case a constant matrix are generalized to MIMO-case where arbitrary allowed. shows existence separation principle very useful in sense simplicity analysis. Stability could be checked graphically using Nyquist-like criterion. problem with time-delays variation robustness appear natural special cases general framework, hence,...

This paper develops a controller synthesis algorithm for distributed LQG control problems under output feedback. We consider system consisting of three interconnected linear subsystems with delayed information sharing structure. While the state-feedback case this problem has previously been solved, extension to output-feedback is nontrivial, as classical separation principle fails. To find optimal solution, decomposed into two independent components. One centralized LQR, and other sum...

This technical note considers linear quadratic team decision problems. It shows that decisions are optimal and can be found by solving a matrix inequality.

We consider the problem of stochastic control under power constraints. Problems such as linear quadratic optimal with information constraints are instances considered. The calculations law can be done off-line in classical Gaussian theory using dynamic programming, which turns out to a special case new developed this paper

It is formally known that by establishing a heavy duty vehicle platoon, the fuel consumption reduced for follower due to lower air drag. However, it not clear how platoon should be formed with respect properties. String stability well discussed issue in platooning. each vehicle's properties have taken into consideration when analyzing system. In this paper, we analyze one property of vehicles - mass. The results show robustness influenced order and physical characteristics platoon. When...

In this paper, we consider communication over the bandwidth limited analog white Gaussian noise channel using non-orthogonal pulses. particular, transmission by signaling samples at a rate higher than Nyquist rate. Using faster-than- (FTN) framework, Mazo showed that one may transmit symbols carried sinc pulses dictated without loosing bit error However, as will show in such are not necessarily well localized time. fact, assuming signals FTN framework time, can construct scheme violates...

Emerging heavy duty vehicle control systems increasingly rely on advance knowledge of the road topography, described by longitudinal grade.Highway grade profiles are restricted design specifications to be piecewise affine.This characteristic is used herein derive a method for estimation based standard on-vehicle sensors and optimal linear through dynamic programming.The proposed demonstrated with on-road experiments.It able represent profile two studied 15 km sections, 20 segments each, root...

In this paper, we consider the problem of optimization and learning for constrained multi-objective Markov decision processes, both discounted rewards expected average rewards. We formulate problems as zero-sum games where one player (the agent) solves a its opponent bandit problem, which here call Markov-Bandit games. extend Q-learning to solve show that our new algorithms converge optimal solutions games, hence problems. provide numerical example calculate policies by simulations algorithm...

We present a representation learning framework for financial time series forecasting. One challenge of using deep models finance forecasting is the shortage available training data when small datasets. Direct trend classification neural networks trained on datasets susceptible to overfitting problem. In this paper, we propose first learn compact representations from data, then use learned train simpler model predicting movements. consider class-conditioned latent variable model. an encoder...

We revisit the classical H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> analysis problem of computing l <sup xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> -induced norm a linear time-invariant system. follow an approach based on converting maximization over signals to that sort deterministic covariance matrices. The reformulation in terms these matrices greatly simplifies dynamic and converts computation convex, constrained...

We consider optimal distributed controller synthesis for an interconnected system subject to communication constraints, in linear quadratic settings.Motivated by the problem of finite heavy duty vehicle platooning, we study systems composed subsystems over a chain graph.By decomposing into orthogonal modes, cost function can be separated individual components.Thereby, derivation controllers state-space follows immediately.The are evaluated under practical setting platooning with...

In this paper, we consider linear quadratic team problems with an arbitrary number of constraints in stochastic and deterministic settings. The consists players different measurements about the state nature. objective is to minimize a cost subject additional finite constraints. We first problem countably infinite for bounded nature Gaussian distribution show that decisions are optimal. Then, decision convex optimal team. For player case, can be found by solving semidefinite program. then...